C. Lim

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).

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.

Application of an Adaptive Hybrid Neural Network to Medical Diagnosis

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

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

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

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).

Application of autonomous neural network systems to medical pattern classification tasks

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

An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation

CHEE PENG LIM, ROBERT F. HARRISON, R. Harrison, 1997, Neural Networks.

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 semisupervised learning model based on fuzzy min-max neural networks for data classification

Ran Wang, Di Wang, Farhad Pourpanah, 2021, Appl. Soft Comput..

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.

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).

Automatic design of hyper-heuristic based on reinforcement learning

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

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 .

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

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

Feature selection based on brain storm optimization for data classification

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

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.

A reinforced fuzzy ARTMAP model for data classification

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

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

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

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..

An incremental meta-cognitive-based scaffolding fuzzy neural network

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

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 review of online learning in supervised neural networks

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

Fuzzy ARTMAP and hybrid evolutionary programming for pattern classification

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

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

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

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.

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..

Advances in Intelligent Decision Making

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

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

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

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

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

An Evolutionary Artificial Neural Network for Medical Pattern Classification

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

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..

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.

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..

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 .

An intelligent decision support system for manufacturing technology investments

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

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.

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 .

An Adaptive Fuzzy Min-Max Conflict-Resolving Classifier

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

An adaptive conflict-resolving neural-fuzzy classifier

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

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

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

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

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

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..

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).

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).

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).

Application of an Adaptive Neural Network to Medical Decision Support

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

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

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

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.

Solving Black–Scholes equations using fractional generalized homotopy analysis method

C. Lim, S. Saratha, M. Bagyalakshmi, 2020, Computational and Applied Mathematics.

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

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

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.

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.

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.

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..

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

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

Application of a noisy data classification technique to determine the occurrence of flashover in compartment fires

Eric Wai Ming Lee, Y. Y. Lee, C. P. Lim, 2006, Adv. Eng. Informatics.

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.

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).

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.

Intelligent skin cancer detection using enhanced particle swarm optimization

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

Prediction of Drug Dissolution Profiles Using Artificial Neural Networks

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

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

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

Using big data to make better decisions in the digital economy

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

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

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

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.

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).

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.

Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization

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

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).

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.

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..

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.

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..

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

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

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..

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

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

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

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

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.

Reinforcement learning of competitive and cooperative skills in soccer agents

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

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..

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

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

Dynamical Analysis of the Hindmarsh–Rose Neuron With Time Delays

S. Nahavandi, C. P. Lim, P. Balasubramaniam, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Application of the Gaussian mixture model to drug dissolution profiles prediction

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

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.

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.

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

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

Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification

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

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.

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.

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.

Intelligent facial emotion recognition using moth-firefly optimization

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

A new Reinforcement Learning-based Memetic Particle Swarm Optimizer

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

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..

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

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

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

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

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).

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..

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

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

Prediction of pedestrians routes within a built environment in normal conditions

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

A neural network-based multi-agent classifier system

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

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

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

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..

Adaptive rough radial basis function neural network with prototype outlier removal

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

WITHDRAWN: Reinforcement Learning with Simulated Annealing and Response Surface Methodology

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

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

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

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.

Application of Fuzzy Inference Techniques to FMEA

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

Improving K-means clustering with enhanced Firefly Algorithms

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

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

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

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.

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).

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..

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

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

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..

Intelligent leukaemia diagnosis with bare-bones PSO based feature optimization

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

A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition

S. C. Neoh, C. Lim, S. Neoh, 2017, IEEE Transactions on Cybernetics.

pClass+: A Novel Evolving Semi-Supervised Classifier

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

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

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

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).

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

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

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..

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 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.

A Review of Situation Awareness Assessment Approaches in Aviation Environments

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

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).

Performance analyses of various commercial photovoltaic modules based on local spectral irradiances in Malaysia using genetic algorithm

Choo Jun Tan, C. Lim, K. Chong, 2021 .

Intelligent facial emotion recognition using a layered encoding cascade optimization model

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

2. ASEAN's Policies Towards the European Union

C. Lim, 1997 .

A randomized neural network for data streams

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

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..

Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models

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

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

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

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

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

A hybrid intelligent system for medical data classification

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

Changes in the Malaysian Economy and Trade Trends and Prospects

C. Lim, 1987 .

International Rivalry: U.S. ‑ Japanese Competition in the ASEAN Countries

C. Lim, 1982 .

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..

Noise reduction in ECG signals using wavelet transform and dynamic thresholding

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

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

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

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 .

Asymptotical synchronization of Lur'e systems using network reliable control

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

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..

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.

A fresh look at functional link neural network for motor imagery-based brain–computer interface

Saeid Nahavandi, Toktam Babaei, Thanh Nguyen, 2018, Journal of Neuroscience Methods.

Intelligent skin cancer diagnosis using improved particle swarm optimization and deep learning models

Li Zhang, Teck Yan Tan, Chee Peng Lim, 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).

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).

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.

Transfer Learning Using the Online FMM Model

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

Transfer learning using the online Fuzzy Min–Max neural network

C. Lim, M. Seera, 2014, Neural Computing and Applications.

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..

Feature selection using firefly optimization for classification and regression models

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

Sound classification using evolving ensemble models and Particle Swarm Optimization

Yonghong Yu, C. Lim, Li Zhang, 2021, Appl. Soft Comput..

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

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

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

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

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).

Advances in intelligent methodologies and techniques

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

Inclusion of environmental effects in steering behaviour modelling using fuzzy logic

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

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..

Policy-Based Reinforcement Learning for Training Autonomous Driving Agents in Urban Areas With Affordance Learning

S. Nahavandi, C. Lim, A. Abobakr, 2022, IEEE Transactions on Intelligent Transportation Systems.

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 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..

An information entropy-based evolutionary computation for multi-factorial optimization

Choo Jun Tan, Ting Yee Lim, C. Lim, 2021, Appl. Soft Comput..

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

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

Fuzzy ARTMAP with Binary Relevance for Multi-label Classification

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

A fuzzy inference system-based criterion-referenced assessment model

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

Authenticating the Typing Biometrics and Identity of Computer Users the Fuzzy Min-Max Neural Network

C. Lim, Anas, Quteishat, 2014 .

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.

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

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

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 Application of Data Envelopment Analysis and Machine Learning Approach to Risk Management

Suriyan Jomthanachai, Wai-Peng Wong, Chee-Peng Lim, 2021, 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).

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.

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

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

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

P. Vamplew, A. Stranieri, S. Nahavandi, 2015, Neural computing & applications (Print).

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 hybrid FAM‐CART model for online data classification

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

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

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

Innovations in Swarm Intelligence

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

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..

Special Issue: Knowledge-based intelligent systems and their applications

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

Special issue on intelligent knowledge processing and decision making techniques

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

Theoretical advances and applications of intelligent paradigms

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

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..

Recent advances in intelligent paradigms fusion and their applications

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

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

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

Advances in Decision Making

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

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 review on otolith models in human perception

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

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

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

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.

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

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

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).

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.

Clustering and visualization of failure modes using an evolving tree

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

A New Evolving Tree for Text Document Clustering and Visualization

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

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..

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

Choo Jun Tan, Chu Kong Loo, S. Nahavandi, 2017, Journal of Intelligent Manufacturing.

Medical image analysis using wavelet transform and deep belief networks

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

A Hybrid ART-GRNN Online Learning Neural Network With a $\varepsilon$ -Insensitive Loss Function

K. S. Yap, C. Lim, Izham Zainal Abidin, 2008, IEEE Transactions on Neural Networks.

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..

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

Chengyu Liu, N. Aslam, C. Lim, 2017, Comput. Methods Programs Biomed..

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.

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

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

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..

A fresh look at functional link neural network for motor imagery-based brain–computer interface

Imali T. Hettiarachchi, S. Nahavandi, T. Nguyen, 2018, Journal of Neuroscience Methods.