Chee Peng Lim

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A Modified Fuzzy Min-Max Neural Network and Its Application to Fault Classification

Chee Peng Lim, Anas Quteishat, C. Lim, 2007 .

Big Data Centric Computational Intelligence in Bioinformatics and Healthcare Preface

Chee Peng Lim, Li Zhang, Ling Shao, 2018 .

Multi-objective job shop scheduling using i-NSGA-III

Chee Peng Lim, Saeid Nahavandi, Burhan Khan, 2018, 2018 Annual IEEE International Systems Conference (SysCon).

A Layered-Encoding Cascade Optimization Approach to Product-Mix Planning in High-Mix–Low-Volume Manufacturing

Siew Chin Neoh, Chee Peng Lim, Zalina Abdul Aziz, 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Classification of transcranial Doppler signals using individual and ensemble recurrent neural networks

Chee Peng Lim, Wei Shiung Liew, Manjeevan Seera, 2017, Neurocomputing.

Special issue on intelligent knowledge processing and decision making techniques

Chee Peng Lim, Lakhmi C. Jain, Jadranka Sunde, 2009, Intell. Decis. Technol..

A hybrid FAM–CART model and its application to medical data classification

Chee Peng Lim, Chu Kiong Loo, Manjeevan Seera, 2015, Neural Computing and Applications.

A New RBFNDDA-KNN Network and Its Application to Medical Pattern Classification

Chee Peng Lim, Shing Chiang Tan, Robert F. Harrison, 2014, SOCO 2014.

A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry

Chee Peng Lim, Kai Meng Tay, Chian Haur Jong, 2015, Neural Computing and Applications.

An Enhanced Fuzzy Min–Max Neural Network for Pattern Classification

Chee Peng Lim, Mohammed Falah Mohammed, C. Lim, 2015, IEEE Transactions on Neural Networks and Learning Systems.

A new fuzzy ratio and its application to the single input rule modules connected fuzzy inference system

Chee Peng Lim, Kai Meng Tay, Chian Haur Jong, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Network-based synchronization of T-S fuzzy chaotic systems with asynchronous samplings

Chee Peng Lim, Saeid Nahavandi, Ju H. Park, 2018, J. Frankl. Inst..

Modeling of the RPN ranking system in FMEA using fuzzy inference techniques

Chee Peng Lim, Kai Meng Tay, 2005 .

On the Monotonicity Property of the TSK Fuzzy Inference System: The Necessity of the Sufficient Conditions and the Monotonicity Test

Chee Peng Lim, Kai Meng Tay, Chin Ying Teh, 2018, Int. J. Fuzzy Syst..

A dynamic fuzzy‐based dance mechanism for the bee colony optimization algorithm

Chee Peng Lim, Li-Pei Wong, Shin Siang Choong, 2018, Comput. Intell..

Special issue recent advances in soft computing: Theories and applications

Chee Peng Lim, Valentina Emilia Balas, Quoc Do, 2013, J. Intell. Fuzzy Syst..

A new decomposition-based evolutionary framework for many-objective optimization

Chee Peng Lim, Saeid Nahavandi, Burhan Khan, 2017, 2017 Annual IEEE International Systems Conference (SysCon).

Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes

Chee Peng Lim, Saeid Nahavandi, Asim Bhatti, 2015, ICONIP.

Application of an Adaptive Hybrid Neural Network to Medical Diagnosis

Chee Peng Lim, Robert F. Harrison, Poh Suan Teoh, 2000 .

Fourier decomposition of segmented magnets with radial magnetization in surface-mounted PM machines

Chee Peng Lim, Dahaman Ishak, Tow Leong Tiang, 2017 .

Advances in Intelligent Decision Making

Chee Peng Lim, LCakhmi C. Jain, C. Lim, 2010 .

An Intelligent Human-Computer Interaction System for Decision Support

Chee Peng Lim, Chee Siong Teh, C. S. Teh, 2007 .

Robust Dissipativity Analysis of Hopfield-Type Complex-Valued Neural Networks with Time-Varying Delays and Linear Fractional Uncertainties

Chee Peng Lim, Grienggrai Rajchakit, Pharunyou Chanthorn, 2020, Mathematics.

Formulation and Simulation of a 3D Mechanical Model of Embryos for Microinjection

Chee Peng Lim, Saeid Nahavandi, Hamid Abdi, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks

Chee Peng Lim, Li Zhang, Teck Yan Tan, 2020, Knowl. Based Syst..

A two-stage dynamic group decision making method for processing ordinal information

Chee Peng Lim, Mark Goh, Feng Zhang, 2014, Knowl. Based Syst..

A Hybrid PSO-FSVM Model and Its Application to Imbalanced Classification of Mammograms

Chee Peng Lim, Umi Kalthum Ngah, Hussein Samma, 2013, ACIIDS.

Prediction of pedestrians routes within a built environment in normal conditions

Chee Peng Lim, Saeid Nahavandi, Mojdeh Nasir, 2014, Expert Syst. Appl..

Interval-based and fuzzy set-based approaches to modeling of fuzzy inference systems with the local monotonicity property

Chee Peng Lim, Kai Meng Tay, Chin Ying Teh, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Fault Detection and Diagnosis Using the Fuzzy Min-Max Neural Network with Rule Extraction

Chee Peng Lim, Weng-Kin Lai, Kok Yeng Chen, 2004, KES.

Reliability of Artificial Neural Network Predictions - A Case Study in Drug Release Profile Predictions

Chee Peng Lim, Siow San Quek, Kok Khiang Peh, 2000 .

Transfer learning using the online Fuzzy Min–Max neural network

Chee Peng Lim, Manjeevan Seera, M. Seera, 2013, Neural Computing and Applications.

Optimization of the Milling Parameters of a Robotic-based Bone Milling System

Chee Peng Lim, Zoran Najdovski, Kais I. Al-Abdullah, 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).

Application of the fuzzy min–max neural network to fault detection and diagnosis of induction motors

Chee Peng Lim, Dahaman Ishak, Manjeevan Seera, 2012, Neural Computing and Applications.

Hybrid Data Regression Model Based on the Generalized Adaptive Resonance Theory Neural Network

Chee Peng Lim, Eric Wai Ming Lee, Keem Siah Yap, 2019, IEEE Access.

Autonomously Learning Neural Networks for Clinical Decision Support.

Chee Peng Lim, R. F. Harrison, R. L. Kennedy, 1994 .

Stability and pinning synchronization analysis of fractional order delayed Cohen-Grossberg neural networks with discontinuous activations

Jinde Cao, Chee Peng Lim, Ovidiu Bagdasar, 2019, Appl. Math. Comput..

A recurrent neural network approach to the prediction of drug dissolution profiles

Chee Peng Lim, W. Y. Goh, K. K. Peh, 2001 .

Application of the Gaussian mixture model to drug dissolution profiles prediction

Chee Peng Lim, Siow San Quek, Kok Khiang Peh, 2005, Neural Computing & Applications.

Fault detection and diagnosis using an art-based neural network

Chee Peng Lim, Mau Teng Au, Keem Siah Yap, 2010 .

A new fuzzy ranking method using fuzzy preference relations

Chee Peng Lim, Kai Meng Tay, Kok Chin Chai, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Q-learning-based multi-agent system for data classification

Chee Peng Lim, Junita Mohamad-Saleh, Farhad Pourpanah, 2017, Appl. Soft Comput..

Adaptive rough radial basis function neural network with prototype outlier removal

Chee Peng Lim, Shing Chiang Tan, Wooi Ping Cheah, 2019, Inf. Sci..

A hybrid neural network model for noisy data regression

Chee Peng Lim, Eric Wai Ming Lee, S. M. Lo, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

A study and a directory of energy consumption data sets of buildings

Chee Peng Lim, Saeid Nahavandi, Hamid Abdi, 2015 .

Special issue: Computational intelligence models for image processing and information reasoning

Lakhmi C. Jain, Chee Peng Lim, Canicious Abeynayake, 2013, J. Intell. Fuzzy Syst..

An interactive evolutionary multi-objective approach to skin lesion segmentation

Chee Peng Lim, Bee Ee Khoo, Woi Seng Ooi, 2019 .

Using big data to make better decisions in the digital economy

Chee Peng Lim, Kim Hua Tan, Guojun Ji, 2017, Int. J. Prod. Res..

Special Issue on "Intelligent Information Processing: Techniques and Applications"

Chee Peng Lim, Lakhmi C. Jain, 2012, Int. J. Knowl. Based Intell. Eng. Syst..

Increasing Motion Fidelity in Driving Simulators Using a Fuzzy-Based Washout Filter

Chee Peng Lim, Saeid Nahavandi, Darius Nahavandi, 2019, IEEE Transactions on Intelligent Vehicles.

Application of an evolutionary algorithm-based ensemble model to job-shop scheduling

Siew Chin Neoh, Chee Peng Lim, Saeid Nahavandi, 2017, Journal of Intelligent Manufacturing.

A Multi-resolution GA-PSO Layered Encoding Cascade Optimization Model

Siew Chin Neoh, Chee Peng Lim, Zalina Abdul Aziz, 2009, Innovations in Swarm Intelligence.

A modified Intelligent Water Drops algorithm and its application to optimization problems

Chee Peng Lim, Mohammed Azmi Al-Betar, Ahamad Tajudin Abdul Khader, 2014, Expert Syst. Appl..

Detection and Diagnosis of Broken Rotor Bars in Induction Motors Using the Fuzzy Min-Max Neural Network

Chee Peng Lim, Dahaman Ishak, Manjeevan Seera, 2012, Int. J. Nat. Comput. Res..

Mini-Micro Unmanned Aerial Vehicle Intelligence: A Threat to Land Vehicles

Chee Peng Lim, Arthur Filippidis, Saeid Nahavandi, 2014, IDT/IIMSS/STET.

Medical image analysis using wavelet transform and deep belief networks

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2017, Expert Syst. Appl..

Segmentation of gray scale image based on intuitionistic fuzzy sets constructed from several membership functions

Chee Peng Lim, Pagavathigounder Balasubramaniam, V. P. Ananthi, 2014, Pattern Recognit..

On the use of fuzzy inference techniques in assessment models: part I—theoretical properties

Chee Peng Lim, Kai Meng Tay, 2008, Fuzzy Optim. Decis. Mak..

Classification of Implantable Rotary Blood Pump States With Class Noise

Chee Peng Lim, Nigel H. Lovell, Chu Kiong Loo, 2016, IEEE Journal of Biomedical and Health Informatics.

Online pattern classification with multiple neural network systems: an experimental study

Chee Peng Lim, Robert F. Harrison, R. Harrison, 2003, IEEE Trans. Syst. Man Cybern. Part C.

Short term power load forecasting using a modified generalized regression neural network

Chee Peng Lim, Keem Siah Yap, 2008 .

A Computer-Aided Detection System for Automatic Mammography Mass Identification

Chee Peng Lim, Hussein Samma, Ali Samma, 2010, ICONIP.

A genetic fuzzy system to model pedestrian walking path in a built environment

Chee Peng Lim, Saeid Nahavandi, Mojdeh Nasir, 2014, Simul. Model. Pract. Theory.

Building fuzzy inference systems with similarity reasoning: NSGAII-based fuzzy rule selection and evidential functions

Chee Peng Lim, Kai Meng Tay, Kok Chin Chai, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Advances in intelligent methodologies and techniques

Chee Peng Lim, Lakhmi C. Jain, L. Jain, 2009 .

A Wavelet Deep Belief Network-Based Classifier for Medical Images

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2016, ICONIP.

A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis

Chee Peng Lim, Kai Meng Tay, Tze Ling Jee, 2015, IEEE Transactions on Reliability.

An ART-Based Hybrid Network for Medical Pattern Classification Tasks with Missing Data

Chee Peng Lim, Robert F. Harrison, Mei Ming Kuan, 2003, KES.

Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network

Chee Peng Lim, Mahardhika Pratama, Sreenatha G. Anavatti, 2017, Neurocomputing.

Improving the Performance of Fuzzy ARTMAP with Hybrid Evolutionary Programming: An Experimental Study

Chee Peng Lim, Shing Chiang Tan, C. Lim, 2009, ICONIP.

A new PSO-based approach to fire flame detection using K-Medoids clustering

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2017, Expert Syst. Appl..

Advances in Decision Making

Chee Peng Lim, Lakhmi C. Jain, L. Jain, 2009 .

On Modeling of Data-Driven Monotone Zero-Order TSK Fuzzy Inference Systems Using a System Identification Framework

Chee Peng Lim, Kai Meng Tay, Chin Ying Teh, 2018, IEEE Transactions on Fuzzy Systems.

A hybrid weighted aggregation method based on consistency and consensus in group decision making

Chee Peng Lim, Feng Zhang, Joshua Ignatius, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Industrial Applications of Affective Engineering

Chee Peng Lim, Junzo Watada, Kun-Pyo Lee, 2014 .

Application of the fuzzy Failure Mode and Effect Analysis methodology to edible bird nest processing

Chee Peng Lim, Kai Meng Tay, Chian Haur Jong, 2013 .

A hybrid model for named entity recognition using unstructured medical text

Chee Peng Lim, Douglas C. Creighton, Sara Keretna, 2014, 2014 9th International Conference on System of Systems Engineering (SOSE).

A Hybrid Art-grnn Online Learning Neural Network with a -insensitive Loss Function

Chee Peng Lim, Keem Siah Yap, I. Z. Abidi, 2022 .

Evolving CNN-LSTM Models for Time Series Prediction Using Enhanced Grey Wolf Optimizer

Li Zhang, Chee Peng Lim, Hailun Xie, 2020, IEEE Access.

Text-dependent Speaker Recognition using Wavelets and Neural Networks

Chee Peng Lim, Siew Chan Woo, S. C. Woo, 2007, Soft Comput..

Robust Vehicle Detection in Aerial Images Using Bag-of-Words and Orientation Aware Scanning

Chee Peng Lim, Saeid Nahavandi, Lei Wei, 2018, IEEE Transactions on Geoscience and Remote Sensing.

A neural-network-based intelligent system for time-series prediction problems in product development

Chee Peng Lim, K. Subari, Kok Khiang Peh, 2000, 2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119).

Special Issue: Knowledge-based intelligent systems and their applications

Chee Peng Lim, Lakhmi C. Jain, Gloria E. Phillips-Wren, 2010, J. Intell. Fuzzy Syst..

Building monotonicity-preserving Fuzzy Inference models with optimization-based similarity reasoning and a monotonicity index

Chee Peng Lim, Kai Meng Tay, Tze Ling Jee, 2012, 2012 IEEE International Conference on Fuzzy Systems.

A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification

Chee Peng Lim, Mohammed Falah Mohammed, Hai Tao, 2019, IEEE Access.

Evaluation of the Path Tracking Performance of Autonomous Vehicles Using the Universal Motion Simulator

Chee Peng Lim, Saeid Nahavandi, Navid Mohajer, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A Role-Based Cognitive Architecture for Multi-Agent Teaming

Chee Peng Lim, Lakhmi C. Jain, Jinsong Leng, 2010, Agent and Multi-agent Technology for Internet and Enterprise Systems.

A Bio-Signal-Based Control Approach to Building a Comfortable Space

Chee Peng Lim, Junzo Watada, Yung-chin Hsiao, 2014 .

Improving the Fuzzy Min-Max neural network performance with an ensemble of clustering trees

Chee Peng Lim, Manjeevan Seera, Kuldeep Randhawa, 2018, Neurocomputing.

A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification

Chee Peng Lim, Xizhao Wang, Yuhui Shi, 2019, Neurocomputing.

Observer-Based $\mathcal{H}_{\infty }$ Fault-Tolerant Control for Linear Systems With Sensor and Actuator Faults

Chee Peng Lim, Saeid Nahavandi, Tae H. Lee, 2019, IEEE Systems Journal.

On the Use of Fuzzy Inference Systems for Assessment and Decision Making Problems

Chee Peng Lim, Kai Meng Tay, 2010 .

Speech recognition using artificial neural networks

Chee Peng Lim, Siew Chan Woo, Aun Sim Loh, 2000, Proceedings of the First International Conference on Web Information Systems Engineering.

Design and application of neural networks and intelligent learning systems

Chee Peng Lim, Lakhmi C. Jain, Ignac Lovrek, 2010, Neurocomputing.

Classification of Multi-Class BCI Data by Common Spatial Pattern and Fuzzy System

Chee Peng Lim, Saeid Nahavandi, Imali Hettiarachchi, 2018, IEEE Access.

Feature selection based on brain storm optimization for data classification

Chee Peng Lim, Qi Hao, Yuhui Shi, 2019, Appl. Soft Comput..

Improving K-means clustering with enhanced Firefly Algorithms

Chee Peng Lim, Chengyu Liu, Li Zhang, 2019, Appl. Soft Comput..

A Particle Swarm Optimization-based washout filter for improving simulator motion fidelity

Chee Peng Lim, Saeid Nahavandi, Arash Mohammadi, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A Multi-Objective Sensitivity Approach to Training Providers' Evaluation and quota Allocation Planning

Chee Peng Lim, Adli Mustafa, T. Ramayah, 2011, Int. J. Inf. Technol. Decis. Mak..

Monotone data samples do not always produce monotone fuzzy if-then rules: Learning with ad hoc and system identification methods

Chee Peng Lim, Kai Meng Tay, Chin Ying Teh, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A New Application of an Evolving Tree to Failure Mode and Effect Analysis Methodology

Chee Peng Lim, Kai Meng Tay, Wui Lee Chang, 2014, ICONIP.

Synchronization of discrete-time Markovian jump complex dynamical networks with random delays via non-fragile control

Chee Peng Lim, R. Rakkiyappan, Shanmugam Lakshmanan, 2016, J. Frankl. Inst..

Application of the fuzzy ARTMAP neural network to classification of manufacturing technology projects

Chee Peng Lim, Kim Hua Tan, Ken Platts, 2004 .

Monotone Interval Fuzzy Inference Systems

Chee Peng Lim, Kai Meng Tay, Yi Wen Kerk, 2019, IEEE Transactions on Fuzzy Systems.

Use of Circle-Segments as a Data Visualization Technique for Feature Selection in Pattern Classification

Chee Peng Lim, Chen Change Loy, Kay Sin Tan, 2007, ICONIP.

Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2019, ICONIP.

Condition monitoring of engine lubrication oil of military vehicles: a machine learning approach

Chee Peng Lim, Saeid Nahavandi, Vu Le, 2017 .

Offline and online fault detection and diagnosis of induction motors using a hybrid soft computing model

Chee Peng Lim, Dahaman Ishak, Manjeevan Seera, 2013, Appl. Soft Comput..

A Review of Situation Awareness Assessment Approaches in Aviation Environments

Chee Peng Lim, Saeid Nahavandi, Lee Gordon-Brown, 2018, IEEE Systems Journal.

Discrete-Time Stochastic Quaternion-Valued Neural Networks with Time Delays: An Asymptotic Stability Analysis

Chee Peng Lim, Rajendran Samidurai, Grienggrai Rajchakit, 2020, Symmetry.

Integrating artificial neural network and circle segment for data visualization : a case study on PID controller tuning

Chee Peng Lim, S. L. Wang, Aziz Z. Abdul, 2006 .

A layered matrix cascade genetic algorithm and particle swarm optimization approach to thermal power generation scheduling

Siew Chin Neoh, Chee Peng Lim, Zalina Abdul Aziz, 2007 .

Intelligent leukaemia diagnosis with bare-bones PSO based feature optimization

Li Zhang, Siew Chin Neoh, Chee Peng Lim, 2017, Appl. Soft Comput..

Intelligent optic disc segmentation using improved particle swarm optimization and evolving ensemble models

Chee Peng Lim, Li Zhang, Li Zhang, 2020, Appl. Soft Comput..

A fuzzy clustering approach to content-based image retrieval

Chee Peng Lim, W. S. Ooi, C. P. Lim, 2009 .

Intelligent skin cancer detection using enhanced particle swarm optimization

Li Zhang, Siew Chin Neoh, Chee Peng Lim, 2018, Knowl. Based Syst..

Integration of supervised ART-based neural networks with a hybrid genetic algorithm

Chee Peng Lim, Shing Chiang Tan, C. Lim, 2011, Soft Comput..

Understanding Product Features Using a Hybrid Machine Learning Model

Chee Peng Lim, Junzo Watada, Manjeevan Seera, 2014 .

A neural network-based multi-agent classifier system

Chee Peng Lim, Lakhmi C. Jain, Anas Quteishat, 2009, Neurocomputing.

A review on otolith models in human perception

Chee Peng Lim, Saeid Nahavandi, Shady M. K. Mohamed, 2016, Behavioural Brain Research.

A new fuzzy peer assessment methodology for cooperative learning of students

Chee Peng Lim, Kai Meng Tay, Kok Chin Chai, 2015, Appl. Soft Comput..

Transfer Learning Using the Online FMM Model

Chee Peng Lim, Chu Kiong Loo, Manjeevan Seera, 2014, ICONIP.

Minimal Error Rate Classification in a Non-stationary Environment via a Modified Fuzzy ARTMAP Network

Chee Peng Lim, Robert F. Harrison, R. Harrison, 1995, ICANNGA.

Robust modular ARTMAP for multi-class shape recognition

Chee Peng Lim, Chen Change Loy, Weng-Kin Lai, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility

Chee Peng Lim, Shing Chiang Tan, M. V. C. Rao, 2008, Appl. Soft Comput..

pClass+: A Novel Evolving Semi-Supervised Classifier

Chee Peng Lim, Tharam S. Dillon, Mahardhika Pratama, 2017, Int. J. Fuzzy Syst..

An improved fuzzy ARTMAP and Q-learning agent model for pattern classification

Chee Peng Lim, Manjeevan Seera, Xi-Zhao Wang, 2019, Neurocomputing.

A Model Predictive Control-based Motion Cueing Algorithm using an optimized Nonlinear Scaling for Driving Simulators

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

On the use of fuzzy inference techniques in assessment models: part II: industrial applications

Chee Peng Lim, Kai Meng Tay, 2008, Fuzzy Optim. Decis. Mak..

Probabilistic Fuzzy ARTMAP: an autonomous neural network architecture for Bayesian probability estimation

Chee Peng Lim, Robert F. Harrison, R. Harrison, 1995 .

An artificial bee colony algorithm with a Modified Choice Function for the traveling salesman problem

Chee Peng Lim, Li-Pei Wong, Shin Siang Choong, 2019, Swarm Evol. Comput..

Application of autonomous neural network systems to medical pattern classification tasks

Chee Peng Lim, Robert F. Harrison, R. Lee Kennedy, 1997, Artif. Intell. Medicine.

A scattering and repulsive swarm intelligence algorithm for solving global optimization problems

Li Zhang, Chee Peng Lim, Samiran Chattopadhyay, 2018, Knowl. Based Syst..

Estimation of Bayesian a posteriori probabilities with an autonomously learning neural network

Chee Peng Lim, Robert F. Harrison, 1996 .

Force and temperature modelling of bone milling using artificial neural networks

Chee Peng Lim, Hamid Abdi, Kais I. Al-Abdullah, 2018 .

Credit Card Fraud Detection Using AdaBoost and Majority Voting

Chee Peng Lim, Asoke K. Nandi, Chu Kiong Loo, 2019, IEEE Access.

A scalarization-based dominance evolutionary algorithm for many-objective optimization

Chee Peng Lim, Saeid Nahavandi, Burhan Khan, 2019, Inf. Sci..

Inclusion of environmental effects in steering behaviour modelling using fuzzy logic

Chee Peng Lim, Saeid Nahavandi, Mojdeh Nasir, 2014, Expert Syst. Appl..

Motor fault detection and diagnosis using a hybrid FMM-CART model with online learning

Chee Peng Lim, Chu Kiong Loo, Manjeevan Seera, 2016, J. Intell. Manuf..

Optimization of Gaussian fuzzy membership functions and evaluation of the monotonicity property of Fuzzy Inference Systems

Chee Peng Lim, Kai Meng Tay, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

A Cooperative Learning Model for the Fuzzy ARTMAP-Dynamic Decay Adjustment Network with the Genetic Algorithm

Chee Peng Lim, Shing Chiang Tan, M. V. C. Rao, 2007 .

Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration

Chee Peng Lim, Robert F. Harrison, R. Harrison, 1997, Neural Networks.

A Single Input Rule Modules Connected Fuzzy FMEA Methodology for Edible Bird Nest Processing

Chee Peng Lim, Kai Meng Tay, Chian Haur Jong, 2014, SOCO 2014.

Reinforcement learning of competitive and cooperative skills in soccer agents

Chee Peng Lim, Jinsong Leng, C. Lim, 2011, Appl. Soft Comput..

Introduction to Evolutionary Computing in System Design

Chee Peng Lim, Lakhmi C. Jain, Shing Chiang Tan, 2007, Advances in Evolutionary Computing for System Design.

A new method for deriving priority weights by extracting consistent numerical-valued matrices from interval-valued fuzzy judgement matrix

Chee Peng Lim, Feng Zhang, Joshua Ignatius, 2014, Inf. Sci..

3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space

Chee Peng Lim, Saeid Nahavandi, Ehsan Abbasnejad, 2018, BMVC.

WITHDRAWN: Reinforcement Learning with Simulated Annealing and Response Surface Methodology

Chee Peng Lim, Jinsong Leng, C. Lim, 2011 .

Condition Monitoring of Broken Rotor Bars Using a Hybrid FMM-GA Model

Chee Peng Lim, Chu Kiong Loo, Manjeevan Seera, 2014, ICONIP.

A Hybrid Neural Network System for Pattern Classification Tasks with Missing Features

Chee Peng Lim, Mei Ming Kuan, Jenn-Hwai Leong, 2005, IEEE Trans. Pattern Anal. Mach. Intell..

A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification

Chee Peng Lim, Anas Quteishat, C. Lim, 2008, Appl. Soft Comput..

Robust Stability of Complex-Valued Stochastic Neural Networks with Time-Varying Delays and Parameter Uncertainties

Chee Peng Lim, Grienggrai Rajchakit, Pharunyou Chanthorn, 2020, Mathematics.

Enhancing medical named entity recognition with an extended segment representation technique

Chee Peng Lim, Douglas C. Creighton, Khaled Bashir Shaban, 2015, Comput. Methods Programs Biomed..

A Refined Fuzzy Min–Max Neural Network With New Learning Procedures for Pattern Classification

Chee Peng Lim, Osama Nayel Al Sayaydeh, Essam Alhroob, 2020, IEEE Transactions on Fuzzy Systems.

A Delay-Dividing Approach to Robust Stability of Uncertain Stochastic Complex-Valued Hopfield Delayed Neural Networks

Chee Peng Lim, Grienggrai Rajchakit, Pharunyou Chanthorn, 2020, Symmetry.

A hybrid neural network classifier combining ordered fuzzy ARTMAP and the dynamic decay adjustment algorithm

Chee Peng Lim, Shing Chiang Tan, M. V. C. Rao, 2008, Soft Comput..

Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization

Li Zhang, Chee Peng Lim, Ben Fielding, 2019, IEEE Access.

Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach

Chee Peng Lim, Saeid Nahavandi, Asim Bhatti, 2015, ICONIP.

Data Clustering Using a Modified Fuzzy Min-Max Neural Network

Chee Peng Lim, Lakhmi C. Jain, Chu Kiong Loo, 2014, SOFA.

A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2020, Expert Syst. Appl..

A new monotonicity index for fuzzy rule-based systems

Chee Peng Lim, Kai Meng Tay, Lie Meng Pang, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A hybrid model of fuzzy ARTMAP and genetic algorithm for data classification and rule extraction

Chee Peng Lim, Junita Mohamad-Saleh, Farhad Pourpanah, 2016, Expert Syst. Appl..

Theoretical advances and applications of intelligent paradigms

Ngoc Thanh Nguyen, Chee Peng Lim, Lakhmi C. Jain, 2009, J. Intell. Fuzzy Syst..

Periodic event-triggered output regulation for linear multi-agent systems

Chee Peng Lim, Shiqi Zheng, Peng Shi, 2020, Autom..

Improved GART Neural Network Model for Pattern Classification and Rule Extraction With Application to Power Systems

Chee Peng Lim, Mau Teng Au, Keem Siah Yap, 2011, IEEE Transactions on Neural Networks.

ART-BASED AUTONOMOUS LEARNING SYSTEMS: PART II APPLICATIONS

Chee Peng Lim, Robert F. Harrison, R. Harrison, 2000 .

Applying a multi-agent classifier system with a novel trust measurement method to classifying medical data

Chee Peng Lim, Umi Kalthum Ngah, Mohammed Falah Mohammed, 2014 .

Application of a Recurrent Neural Network to Prediction of Drug Dissolution Profiles

Chee Peng Lim, K. Subari, Kok Khiang Peh, 2002, Neural Computing & Applications.

Rule Learning and Extraction Using a Hybrid Neural Network: A Case Study on Fault Detection and Diagnosis

Chee Peng Lim, Shing Chiang Tan, C. Lim, 2005 .

On Operating Strategies of the Fuzzy Artmap Neural Network: A Comparative Study

Chee Peng Lim, Robert F. Harrison, Mei Ming Kuan, 2003, Int. J. Comput. Intell. Appl..

Application of a Neural Fuzzy System with Rule Extraction to Fault Detection and Diagnosis

Chee Peng Lim, Weng-Kin Lai, Kok Yeng Chen, 2005, J. Intell. Manuf..

A Modified Fuzzy Min–Max Neural Network With a Genetic-Algorithm-Based Rule Extractor for Pattern Classification

Chee Peng Lim, Anas Quteishat, Kay Sin Tan, 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems

Chee Peng Lim, Kai Meng Tay, Tze Ling Jee, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Neutral-type of delayed inertial neural networks and their stability analysis using the LMI Approach

Chee Peng Lim, Saeid Nahavandi, Pagavathigounder Balasubramaniam, 2017, Neurocomputing.

A hybrid intelligent system for medical data classification

Chee Peng Lim, Manjeevan Seera, C. Lim, 2014, Expert Syst. Appl..

A hybrid FMM-CART model for human activity recognition

Chee Peng Lim, Chu Kiong Loo, Manjeevan Seera, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Discriminative Clustering of High-Dimensional Data Using Generative Modeling

Chee Peng Lim, Saeid Nahavandi, Anton van den Hengel, 2018, 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS).

Video Driven Traffic Modelling in Paramics

Chee Peng Lim, Lei Wei, Hailing Zhou, 2013, 2013 UKSim 15th International Conference on Computer Modelling and Simulation.

Application of an adaptive neural network with symbolic rule extraction to fault detection and diagnosis in a power generation plant

Chee Peng Lim, Shing Chiang Tan, C. Lim, 2004 .

Combination of decisions from a multiple neural network classifier system

Chee Peng Lim, Robert F. Harrison, Poh Suan Teoh, 1999, 1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410).

Advances in Swarm Intelligence

Chee Peng Lim, Lakhmi C. Jain, 2009, Innovations in Swarm Intelligence.

Evaluation of the fuzzy ARTMAP neural network using off-line and on-line learning strategies

Chee Peng Lim, H. H. Toh, Hoon Hoon Toh, 1999 .

Robust non-fragile control for offshore steel jacket platform with nonlinear perturbations

Chee Peng Lim, R. Rakkiyappan, Shanmugam Lakshmanan, 2015 .

Guest editorial: Special issue on advances in intelligent data processing and analysis

Margarita N. Favorskaya, Chee Peng Lim, Lakhmi C. Jain, 2014, Neural Computing and Applications.

A new method to rank fuzzy numbers using Dempster-Shafer theory with fuzzy targets

Chee Peng Lim, Kai Meng Tay, Kok Chin Chai, 2016, Inf. Sci..

A Modified Two-Stage SVM-RFE Model for Cancer Classification Using Microarray Data

Chee Peng Lim, Shing Chiang Tan, Phit Ling Tan, 2011, ICONIP.

An Automated Decision System for Landmine Detection and Classification Using Metal Detector Signals

Chee Peng Lim, Lakhmi C. Jain, Canicious Abeynayake, 2010 .

Preface of the 2010 IAENG International Conference on Electrical Engineering Special Session: Design, Analysis and Tools for Integrated Circuits and Systems. Newswood Limited

Chee Peng Lim, Alie El-Din Mady, Jin Song Dong, 2010 .

A fuzzy inference system-based criterion-referenced assessment model

Chee Peng Lim, Kai Meng Tay, C. Lim, 2011, Expert Syst. Appl..

A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming

Chee Peng Lim, Kai Meng Tay, Chian Haur Jong, 2016, Appl. Soft Comput..

A review of online learning in supervised neural networks

Chee Peng Lim, Lakhmi C. Jain, Pagavathigounder Balasubramaniam, 2014, Neural Computing and Applications.

Machine vision application to grading of white pepper berries

Chee Peng Lim, Mani Maran Ratnam, Weng Li Khor, 2002 .

Intelligent Water Drops Algorithm for Rough Set Feature Selection

Chee Peng Lim, Mohammed Azmi Al-Betar, Ahamad Tajudin Abdul Khader, 2013, ACIIDS.

Guest Editorial: Special issue on advances in computational intelligence paradigms and applications

Ngoc Thanh Nguyen, Chee Peng Lim, Lakhmi C. Jain, 2008, Fuzzy Optim. Decis. Mak..

An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification

Chee Peng Lim, Keem Siah Yap, Junita Mohamad-Saleh, 2010, J. Intell. Fuzzy Syst..

Text-dependent speaker recognition using the fuzzy ARTMAP neural network

Chee Peng Lim, Siew Chan Woo, R. Osman, 2000, 2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119).

A New Evolving Tree for Text Document Clustering and Visualization

Chee Peng Lim, Kai Meng Tay, Wui Lee Chang, 2014, SOCO 2014.

Improving the Fuzzy Min-Max neural network with a K-nearest hyperbox expansion rule for pattern classification

Chee Peng Lim, Mohammed Falah Mohammed, 2017, Appl. Soft Comput..

Special issue: advances in intelligent data processing and analysis (part II)

Margarita N. Favorskaya, Chee Peng Lim, Lakhmi C. Jain, 2014, Neural Computing and Applications.

Application of the Fuzzy Min-Max Neural Networks to Medical Diagnosis

Chee Peng Lim, Anas Quteishat, C. Lim, 2008, KES.

An Online Transfer Learning RBF Neural Network for Cross Domain Data Classification

Chee Peng Lim, Manjeevan Seera, Shing Chiang Tan, 2014, IDT/IIMSS/STET.

Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models

Chee Peng Lim, Chu Kiong Loo, Wei Shiung Liew, 2015, Expert Syst. Appl..

An Adaptive Fuzzy Min-Max Conflict-Resolving Classifier

Chee Peng Lim, Shing Chiang Tan, M. V. C. Rao, 2004, WSC.

Enhancing the Failure Mode and Effect Analysis methodology with fuzzy inference techniques

Chee Peng Lim, Kai Meng Tay, C. Lim, 2010, J. Intell. Fuzzy Syst..

A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications pdf

Chee Peng Lim, Ran Wang, Danial Yazdani, 2020, ArXiv.

Condition monitoring and fault prediction via an adaptive neural network

Chee Peng Lim, Shing Chiang Tan, C. Lim, 2000, 2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119).

Enhancing Fuzzy Inference System Based Criterion-Referenced Assessment With An Application

Chee Peng Lim, Kai Meng Tay, Tze Ling Jee, 2010, ECMS.

Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection

Chee Peng Lim, Chen Change Loy, Weng-Kin Lai, 2006, ICONIP.

Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM–CART Model

Chee Peng Lim, Dahaman Ishak, Manjeevan Seera, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Classification ensemble to improve medical Named Entity Recognition

Chee Peng Lim, Douglas C. Creighton, Khaled Bashir Shaban, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Global Robust Synchronization of Fractional Order Complex Valued Neural Networks with Mixed Time Varying Delays and Impulses

Jinde Cao, Chee Peng Lim, Grienggrai Rajchakit, 2019, International Journal of Control, Automation and Systems.

A reinforced fuzzy ARTMAP model for data classification

Chee Peng Lim, Qi Hao, Farhad Pourpanah, 2018, International Journal of Machine Learning and Cybernetics.

An Extended Analysis on Robust Dissipativity of Uncertain Stochastic Generalized Neural Networks with Markovian Jumping Parameters

Chee Peng Lim, Rajendran Samidurai, Grienggrai Rajchakit, 2020, Symmetry.

Integrating Statistical Techniques with the Reliability Engineering Methodology of 'Failure Mode and Effects Analysis' for Continuous Improvement of Manufacturing Processes

Chee Peng Lim, Z. A. Aziz, Yin Leong Cheow, 2003 .

A new Reinforcement Learning-based Memetic Particle Swarm Optimizer

Chee Peng Lim, Junita Mohamad-Saleh, Hussein Samma, 2016, Appl. Soft Comput..

Fuzzy ARTMAP with Binary Relevance for Multi-label Classification

Chee Peng Lim, Junzo Watada, Shing Chiang Tan, 2017, KES-IDT.

A novel trust measurement method based on certified belief in strength for a multi-agent classifier system

Chee Peng Lim, Anas Quteishat, Mohammed Falah Mohammed, 2012, Neural Computing and Applications.

Optimization of product mix planning in high-mix-low-volume industries using genetic algorithms

Siew Chin Neoh, Chee Peng Lim, Norhashimah Morad, 2004 .

Deep‐Q learning‐based heterogeneous earliest finish time scheduling algorithm for scientific workflows in cloud

Chee Peng Lim, Ranbir Singh Batth, Avinash Kaur, 2020, Softw. Pract. Exp..

A randomized neural network for data streams

Chee Peng Lim, Plamen P. Angelov, Mahardhika Pratama, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Handbook on decision making : Vol. 1 : techniques and applications

Chee Peng Lim, Lakhmi C. Jain, 2010 .

Evolutionary Fuzzy ARTMAP Neural Networks and their Applications to Fault Detection and Diagnosis

Chee Peng Lim, Shing Chiang Tan, C. Lim, 2010, Neural Processing Letters.

Application of Fuzzy Inference Techniques to FMEA

Chee Peng Lim, Kai Meng Tay, C. Lim, 2004, WSC.

FMEA with a fuzzy-logic-based occurrence updating algorithm

Chee Peng Lim, Kai Meng Tay, Chee Siong Teh, 2007 .

Robust Optimal Motion Cueing Algorithm Based on the Linear Quadratic Regulator Method and a Genetic Algorithm

Chee Peng Lim, Saeid Nahavandi, Shady M. K. Mohamed, 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Recent advances in intelligent paradigms fusion and their applications

Ngoc Thanh Nguyen, Chee Peng Lim, Lakhmi C. Jain, 2008, Int. J. Hybrid Intell. Syst..

A Modified micro Genetic Algorithm for undertaking Multi-Objective Optimization Problems

Chee Peng Lim, Choo Jun Tan, Yu-N Cheah, 2013, J. Intell. Fuzzy Syst..

Reducing the complexity of an adaptive radial basis function network with a histogram algorithm

Chee Peng Lim, Shing Chiang Tan, Wooi Ping Cheah, 2016, Neural Computing and Applications.

Use of the circle segments visualization technique for neural network feature selection and analysis

Chee Peng Lim, Lakhmi C. Jain, Kay Sin Tan, 2010, Neurocomputing.

Fuzzy FMEA with a guided rules reduction system for prioritization of failures

Chee Peng Lim, Kai Meng Tay, C. Lim, 2006 .

A new hyperbox selection rule and a pruning strategy for the enhanced fuzzy min-max neural network

Chee Peng Lim, Mohammed Falah Mohammed, C. Lim, 2017, Neural Networks.

An evolutionary-based similarity reasoning scheme for monotonic multi-input fuzzy inference systems

Chee Peng Lim, Kai Meng Tay, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Autonomous neural network systems for pattern classification

Chee Peng Lim, 1996 .

An improved consensus-based group decision making model with heterogeneous information

Chee Peng Lim, Feng Zhang, Mohammad Reza Ghasemi, 2015, Appl. Soft Comput..

A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm

Li Zhang, Chee Peng Lim, Samiran Chattopadhyay, 2017, Comput. Methods Programs Biomed..

A memetic-based fuzzy support vector machine model and its application to license plate recognition

Chee Peng Lim, Shahrel Azmin Suandi, Junita Mohamad-Saleh, 2016, Memetic Comput..

An Introduction to Computational Intelligence Paradigms

Chee Peng Lim, Lakhmi C. Jain, Shing Chiang Tan, 2008, Computational Intelligence Paradigms.

A Guided Rule Reduction System for Prioritization of Failures in Fuzzy FMEA

Chee Peng Lim, Kai Meng Tay, 2006 .

Development of an intelligent system for the solder paste printing process

Chee Peng Lim, Norhashimah Morad, Hee Kim Yii, 2000, 2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119).

Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models

Chee Peng Lim, Saeid Nahavandi, Chu Kiong Loo, 2014, Expert Syst. Appl..

Predicting drug dissolution profiles with an ensemble of boosted neural networks: a time series approach

Chee Peng Lim, Kok Khiang Peh, Wei Yee Goh, 2003, IEEE Trans. Neural Networks.

AN INTERACTIVE EVOLUTIONARY ALGORITHM FOR MMIC LOW NOISE AMPLIFIER DESIGN

Siew Chin Neoh, Chee Peng Lim, Zalina Abdul Aziz, 2009 .

Evolving an Adaptive Artificial Neural Network with a Gravitational Search Algorithm

Chee Peng Lim, Shing Chiang Tan, 2015, KES-IDT.

A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models

Chee Peng Lim, Choo Jun Tan, Yu-N Cheah, 2014, Neurocomputing.

Intelligent facial emotion recognition using a layered encoding cascade optimization model

Kamlesh Mistry, Siew Chin Neoh, Chee Peng Lim, 2015, Appl. Soft Comput..

Emerging trends in neuro engineering and neural computation

Chee Peng Lim, Asim Bhatti, Hamid Garmestani, 2017 .

Adaptive Washout Filter Based on Fuzzy Logic for a Motion Simulation Platform With Consideration of Joints’ Limitations

Chee Peng Lim, Saeid Nahavandi, Shady M. K. Mohamed, 2020, IEEE Transactions on Vehicular Technology.

A Hybrid FMM-CART Model for Fault Detection and Diagnosis of Induction Motors

Chee Peng Lim, Dahaman Ishak, Manjeevan Seera, 2011, ICONIP.

An adaptive conflict-resolving neural-fuzzy classifier

Chee Peng Lim, Shing Chiang Tan, Machavaram Venkata, 2004 .

Boosting the Performance of the Fuzzy Min-Max Neural Network in Pattern Classification Tasks

Chee Peng Lim, Robert F. Harrison, Kok Yeng Chen, 2004, WSC.

A Mutation-Based Evolving Neural Network Model and Its Application to Condition Monitoring

Chee Peng Lim, Shing Chiang Tan, M. V. C. Rao, 2007, Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007).

Intelligent Machines: An Introduction

Chee Peng Lim, Lakhmi C. Jain, Anas Quteishat, 2007, Innovations in Intelligent Machines.

An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis

Chee Peng Lim, Kai Meng Tay, Yi Wen Kerk, 2017, IEEE Systems Journal.

Improved NSGA-III using neighborhood information and scalarization

Chee Peng Lim, Saeid Nahavandi, Burhan Khan, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Constructing a t-way interaction test suite using the Particle Swarm Optimization approach

Chee Peng Lim, Bestoun S. Ahmed, Kamal Z. Zamli, 2012 .

Innovations in Swarm Intelligence

Chee Peng Lim, Lakhmi C. Jain, Satchidananda Dehuri, 2009, Innovations in Swarm Intelligence.

A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems

Chee Peng Lim, Kai Meng Tay, Tze Ling Jee, 2012, J. Intell. Fuzzy Syst..

A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization

Chee Peng Lim, Kai Meng Tay, Wui Lee Chang, 2017, Neural Processing Letters.

A new framework with Similarity Reasoning and monotone fuzzy rule relabeling for Fuzzy Inference Systems

Chee Peng Lim, Kai Meng Tay, Tze Ling Jee, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Fuzzy ARTMAP and hybrid evolutionary programming for pattern classification

Chee Peng Lim, Shing Chiang Tan, C. Lim, 2011, J. Intell. Fuzzy Syst..

An online pruning strategy for supervised ARTMAP-based neural networks

Chee Peng Lim, Shing Chiang Tan, M. V. C. Rao, 2009, Neural Computing and Applications.

Delay-dependent stability criteria of delayed positive systems with uncertain control inputs: Application in mosquito-borne morbidities control

Chee Peng Lim, Grienggrai Rajchakit, Yang Cao, 2020, Appl. Math. Comput..

A Swarm Optimization-Based Kmedoids Clustering Technique for Extracting Melanoma Cancer Features

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2017, ICONIP.

Online Motor Fault Detection and Diagnosis Using a Hybrid FMM-CART Model

Chee Peng Lim, Manjeevan Seera, C. Lim, 2014, IEEE Transactions on Neural Networks and Learning Systems.

An Evolutionary Artificial Neural Network for Medical Pattern Classification

Chee Peng Lim, Kay Sin Tan, Shing Chiang Tan, 2009, ICONIP.

Enhancement of Medical Named Entity Recognition Using Graph-Based Features

Chee Peng Lim, Douglas C. Creighton, Sara Keretna, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Guest editorial: Automatic facial and bodily expression perception for human behaviour understanding

Chee Peng Lim, Jungong Han, Li Zhang, 2019, Multimedia Tools and Applications.

Feature selection using firefly optimization for classification and regression models

Kamlesh Mistry, Li Zhang, Siew Chin Neoh, 2018, Decis. Support Syst..

An Improved Scalarization-based Dominance Evolutionary Algorithm for Many-Objective Optimization

Chee Peng Lim, Saeid Nahavandi, Douglas Creighton, 2019, 2019 IEEE International Systems Conference (SysCon).

Authenticating the Identity of Computer Users with Typing Biometrics and the Fuzzy Min-Max Neural Network( BIOMETRICS AND ITS APPLICATIONS)

Chee Peng Lim, Chen Change Loy, Weng Kin Lai, 2009, SOCO 2009.

An experimental study of original and ordered fuzzy ARTMAP neural networks in pattern classification tasks

Chee Peng Lim, Norhashimah Morad, Robert F. Harrison, 2000, 2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119).

Prediction of Drug Dissolution Profiles Using Artificial Neural Networks

Chee Peng Lim, Siow San Quek, Kok Khiang Peh, 2001, Int. J. Comput. Intell. Appl..

Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System

Chee Peng Lim, Kai Meng Tay, Lie Meng Pang, 2016, IEEE Transactions on Fuzzy Systems.

Application of Particle Swarm Optimization to uniform and variable strength covering array construction

Chee Peng Lim, Bestoun S. Ahmed, Kamal Z. Zamli, 2012, Appl. Soft Comput..

Fuzzy ARTMAP and a Hybrid Chaos Genetic Algorithm for Medical Pattern Classification

Chee Peng Lim, Shing Chiang Tan, Chin Loo, 2009, Aust. J. Intell. Inf. Process. Syst..

A genetic algorithm–based nonlinear scaling method for optimal motion cueing algorithm in driving simulator

Chee Peng Lim, Saeid Nahavandi, Arash Mohammadi, 2018, J. Syst. Control. Eng..

Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test

Chee Peng Lim, Kai Meng Tay, Lie Meng Pang, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Asymptotical synchronization of Lur'e systems using network reliable control

Chee Peng Lim, R. Rakkiyappan, Shanmugam Lakshmanan, 2017 .

A Review of Generalized Zero-Shot Learning Methods pdf

Chee Peng Lim, Moloud Abdar, Ran Wang, 2020, ArXiv.

On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models

Chee Peng Lim, Kai Meng Tay, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Noise reduction in ECG signals using wavelet transform and dynamic thresholding

Chee Peng Lim, Samiran Chattopadhyay, Nauman Aslam, 2017 .

Adaptive resonance theory: a foundation for "apprentice" systems in clinical decision support?

Chee Peng Lim, Robert F. Harrison, Simon S. Cross, 2001 .

Three-dimensional object classification using shadow moire´ and neural network

Chee Peng Lim, Mani Maran Ratnam, Ai Ni Khor, 2001 .

Keystroke Patterns Classification Using the ARTMAP-FD Neural Network

Chee Peng Lim, Chen Change Loy, Weng-Kin Lai, 2007, Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007).

A Memetic Fuzzy ARTMAP by a Grammatical Evolution Approach

Chee Peng Lim, Junzo Watada, Shing Chiang Tan, 2016, KES-IDT.

An intelligent decision support system for manufacturing technology investments

Chee Peng Lim, Kim Hua Tan, Ken Platts, 2006 .

Clustering and visualization of failure modes using an evolving tree

Chee Peng Lim, Kai Meng Tay, Wui Lee Chang, 2015, Expert Syst. Appl..

Advances in bio-inspired computing: Techniques and applications

Chee Peng Lim, Lakhmi C. Jain, 2014, Neurocomputing.

Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication

Chee Peng Lim, Saeid Nahavandi, Pagavathigounder Balasubramaniam, 2018, IEEE Transactions on Neural Networks and Learning Systems.

A modified fuzzy min-max neural network for data clustering and its application to power quality monitoring

Chee Peng Lim, Chu Kiong Loo, Manjeevan Seera, 2015, Appl. Soft Comput..

Classifier ensemble reduction using a modified firefly algorithm: An empirical evaluation

Li Zhang, Siew Chin Neoh, Chee Peng Lim, 2018, Expert Syst. Appl..

A hybrid SOM-kMER model for data visualization and classification

Chee Peng Lim, Chee Siong Teh, C. S. Teh, 2005, Int. J. Hybrid Intell. Syst..

A Hybrid Neural Classifier for Dimensionality Reduction and Data Visualization and Its Application to Fault Detection and Classification of Induction Motors

Chee Peng Lim, Mahnoosh Nadjarpoorsiyahkaly, 2011, 2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications.

Development of a speaker recognition system using wavelets and artificial neural networks

Chee Peng Lim, Siew Chan Woo, R. Osman, 2001, Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing. ISIMP 2001 (IEEE Cat. No.01EX489).

A multi-objective evolutionary algorithm-based decision support system: A case study on job-shop scheduling in manufacturing

Chee Peng Lim, Samer Hanoun, Choo Jun Tan, 2015, 2015 Annual IEEE Systems Conference (SysCon) Proceedings.

Enhancing an Evolving Tree-based text document visualization model with Fuzzy c-Means clustering

Chee Peng Lim, Kai Meng Tay, Wui Lee Chang, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Enhanced decision fusion of semantically segmented images via local majority saliency map

Chee Peng Lim, Saeid Nahavandi, Mohammed Hossny, 2017 .

A novel Euclidean quality threshold ARTMAP network and its application to pattern classification

Chee Peng Lim, Lakhmi C. Jain, Shahrul Nizam Yaakob, 2010, Neural Computing and Applications.

Power Quality Analysis Using a Hybrid Model of the Fuzzy Min–Max Neural Network and Clustering Tree

Chee Peng Lim, Chu Kiong Loo, Manjeevan Seera, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Art-Based Autonomous Learning Systems: Part I — Architectures and Algorithms

Chee Peng Lim, Robert F. Harrison, R. Harrison, 2000 .

An interactive genetic algorithm approach to MMIC low noise amplifier design using a layered encoding structure

Siew Chin Neoh, Chee Peng Lim, Zalina Abdul Aziz, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Monitoring the Formation of Kernel-Based Topographic Maps in a Hybrid SOM-kMER Model

Chee Peng Lim, Chee Siong Teh, 2006, IEEE Transactions on Neural Networks.

The application of an ensemble of boosted elman networks to time series prediction : a benchmark study

Chee Peng Lim, Wei Yee Goh, C. Lim, 2007 .

A New Pruning Technique for the Fuzzy ARTMAP Neural Network and Its Application to Medical Decision Support

Lakhmi C. Jain, Chee Peng Lim, Shahrul N.Y, 2009 .

Fault Diagnosis in a Power Generation Plant Using a Neural Fuzzy System with Rule Extraction

Chee Peng Lim, Weng Kin Lai, Kok Yeng Chen, 2006 .

An ensemble of intelligent water drop algorithms and its application to optimization problems

Chee Peng Lim, Mohammed Azmi Al-Betar, Ahamad Tajudin Abdul Khader, 2015, Inf. Sci..

On Monotonic sufficient conditions of Fuzzy Inference Systems and their Applications

Chee Peng Lim, Kai Meng Tay, 2011, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

A neural network-based multi-agent classifier system with a Bayesian formalism for trust measurement

Lakhmi C. Jain, Chee Peng Lim, Junita Mohamad-Saleh, 2011, Soft Comput..

Intelligent facial emotion recognition using moth-firefly optimization

Kamlesh Mistry, Siew Chin Neoh, Chee Peng Lim, 2016, Knowl. Based Syst..

Innovations in Knowledge Processing and Decision Making in Agent-Based Systems

Ngoc Thanh Nguyen, Chee Peng Lim, Lakhmi C. Jain, 2009 .

Fusion of GRNN and FA for Online Noisy Data Regression

Chee Peng Lim, Eric Wai Ming Lee, Richard Kwok Kit Yuen, 2004, Neural Processing Letters.

Fault detection in a power generation plant using a supervised adaptive resonance theory neural network

Chee Peng Lim, S. C. Tan, 2002 .

Advances in Swarm Intelligence

Lakhmi C. Jain, Chee Peng Lim, 2009, Lecture Notes in Computer Science.

A Modified Functional Link Neural Network for Data Classification

Chee Peng Lim, Saeid Nahavandi, Hamid Abdi, 2017 .

A new interval-based method for handling non-monotonic information

Chee Peng Lim, Kai Meng Tay, Yi Wen Kerk, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Survey of Fuzzy Min–Max Neural Network for Pattern Classification Variants and Applications

Chee Peng Lim, Mohammed Falah Mohammed, Osama Nayel Al Sayaydeh, 2019, IEEE Transactions on Fuzzy Systems.

Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives

Chee Peng Lim, Saeid Nahavandi, Kai Meng Tay, 2018, IEEE Access.

Motor Fault Detection and Diagnosis Based on a Meta-cognitive Random Vector Functional Link Network

Chee Peng Lim, Deepak Puthal, Mukesh Prasad, 2018 .

An Artificial Neural Network Classifier Design Based-on Variable Kernel and Non-Parametric Density Estimation

Chee Peng Lim, Chee Siong Teh, C. S. Teh, 2008, Neural Processing Letters.

A Multi-Agent Classifier System Based on the Trust-Negotiation-Communication Model

Chee Peng Lim, Lakhmi C. Jain, Anas Quteishat, 2009, SOCO 2009.

Case-control comparison brain lesion segmentation for early infarct detection

Chee Peng Lim, Kok-Swee Sim, F. F. Ting, 2018, Comput. Medical Imaging Graph..

A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology

Chee Peng Lim, Hisao Ishibuchi, Kai Meng Tay, 2020, IEEE Access.

An incremental meta-cognitive-based scaffolding fuzzy neural network

Chee Peng Lim, Mahardhika Pratama, Sreenatha G. Anavatti, 2016, Neurocomputing.

A new Dempster-Shafer Theory-based method with fuzzy targets for Fuzzy Sets ranking

Chee Peng Lim, Kai Meng Tay, Kok Chin Chai, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Classification and optimization of product review information using soft computing models

Chee Peng Lim, Shing Chiang Tan, Yu-N Cheah, 2013 .

Complex Deep Learning and Evolutionary Computing Models in Computer Vision

Chee Peng Lim, Jungong Han, Li Zhang, 2019, Complex..

A hybrid neural network model for rule generation and its application to process fault detection and diagnosis

Chee Peng Lim, Shing Chiang Tan, M. V. C. Rao, 2007, Eng. Appl. Artif. Intell..

Spike Sorting Using Hidden Markov Models

Chee Peng Lim, Saeid Nahavandi, Asim Bhatti, 2013, ICONIP.

A GA-PSO layered encoding evolutionary approach to 0/1 knapsack optimization

Siew Chin Neoh, Chee Peng Lim, Zalina Abdul Aziz, 2010 .

A monotonicity index for the monotone fuzzy modeling problem

Chee Peng Lim, See Hung Lau, Kai Meng Tay, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Application of fuzzy ARTMAP and fuzzy c-means clustering to pattern classification with incomplete data

Chee Peng Lim, Robert F. Harrison, Mei Ming Kuan, 2005, Neural Computing & Applications.

Feature extraction and classification of metal detector signals using the wavelet transform and the fuzzy ARTMAP neural network

Chee Peng Lim, Lakhmi C. Jain, Canicious Abeynayake, 2010, J. Intell. Fuzzy Syst..

A hybrid FAM‐CART model for online data classification

Chee Peng Lim, Manjeevan Seera, Shing Chiang Tan, 2018, Comput. Intell..

An artificial bee colony algorithm with a modified choice function for the Traveling Salesman Problem

Chee Peng Lim, Li-Pei Wong, Shin Siang Choong, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Patient admission prediction using a pruned fuzzy min–max neural network with rule extraction

Chee Peng Lim, Andrew Stranieri, Saeid Nahavandi, 2014, Neural Computing and Applications.

Application of an Adaptive Neural Network to Medical Decision Support

Chee Peng Lim, Robert F. Harrison, Sunderland, 1999 .

Automatic design of hyper-heuristic based on reinforcement learning

Chee Peng Lim, Li-Pei Wong, Shin Siang Choong, 2018, Inf. Sci..

Adaptive Motion Cueing Algorithm Based on Fuzzy Logic Using Online Dexterity and Direction Monitoring

Chee Peng Lim, Saeid Nahavandi, Shady M. K. Mohamed, 2022, IEEE Systems Journal.

Time Series Prediction of Driving Motion Scenarios Using Fuzzy Neural Networks: * Motion Signal Prediction Using FNNs

Chee Peng Lim, Saeid Nahavandi, Shady M. K. Mohamed, 2021, 2021 IEEE International Conference on Mechatronics (ICM).

Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models

Chee Peng Lim, Yonghong Yu, Li Zhang, 2021, Sensors.

Intelligent human action recognition using an ensemble model of evolving deep networks with swarm-based optimization

Chee Peng Lim, Yonghong Yu, Li Zhang, 2021, Knowl. Based Syst..

Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function

Chee Peng Lim, Kai Meng Tay, Chin Ying Teh, 2021, IEEE Transactions on Fuzzy Systems.

Particle Swarm Optimization for Automatically Evolving Convolutional Neural Networks for Image Classification

Li Zhang, Chee Peng Lim, Tom Lawrence, 2021, IEEE Access.

Monotone Fuzzy Rule Interpolation for Practical Modelling of the Zero-Order TSK Fuzzy Inference System

Chee Peng Lim, Kai Meng Tay, Yi Wen Kerk, 2021 .

A new method for ranking fuzzy numbers and its application to group decision making

Chee Peng Lim, Feng Zhang, Joshua Ignatius, 2014 .

Use of Artificial Neural Networks to Predict Drug Dissolution Profiles and Evaluation of Network Performance Using Similarity Factor

Chee Peng Lim, Kok Khiang Peh, C. Lim, 2000, Pharmaceutical Research.

Prediction of drug release profiles using an intelligent learning system: an experimental study in transdermal iontophoresis.

Chee Peng Lim, Kok Khiang Peh, C. Lim, 2003, Journal of pharmaceutical and biomedical analysis.

New K-medoids Clustering and Swarm Intelligence Approach to Fire Flame Detection

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2016 .