K. S. Yap

发表

A hybrid neural network for time series prediction

C. P. Lim, K. S. Yap, Abidin I. Zainal, 2006 .

COP Optimization of a R134a Cross Vane Expander Compressor Refrigeration System

K. T. Ooi, K. S. Yap, Y. D. Lim, 2017 .

A PERFORMANCE EVALUATION OF PRUNING EFFECTS ON HYBRID NEURAL NETWORK

Shen Yuong Wong, K. S. Yap, S. Y. Leow, 2018 .

Design Optimisation of a Novel Cross Vane Expander-Compressor Unit for Refrigeration System

K. T. Ooi, K. S. Yap, Y. D. Lim, 2016 .

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

K. S. Yap, O. Kisi, S. Abdullah, 2015 .

A computational intelligence scheme for the prediction of the daily peak load

Farrukh Nagi, Keem Siah Yap, Jawad Nagi, 2011, Appl. Soft Comput..

Development and Application of An Enhanced ART-Based Neural Network

K. S. Yap, C. Lim, Eric Lee, 2009 .

Intelligent System for Abnormalities and Fraud Electric Meter Detection in Malaysia

K. S. Yap, H. L. Pok, A. Rahim, 2006 .

A NOVEL METHOD OF BFOA-LSSVM FOR ELECTRICITY PRICE FORECASTING

K. S. Yap, T. Rahman, I. Razak, 2015 .

An ELM based Multi-Agent System and its applications to power generation

Hwa Jen Yap, Shing Chiang Tan, Keem Siah Yap, 2017, Intell. Decis. Technol..

Fault Diagnosis in Wind Energy Management System using Extreme Learning Machine: A Systematic Review

K. H. Chong, S. P. Koh, K. S. Yap, 2022, Journal of Physics: Conference Series.

Gas Turbine Model Parameter Classification During Abnormal Operation Using Support Vector Machine For Maintenance

S. P. Koh, K. S. Yap, Karim Ali, 2022, Journal of Physics: Conference Series.

Fault detection and diagnosis using an art-based neural network

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

Deriving the absorption coefficients of lattice mismatched InGaAs using genetic algorithm

M. Z. Jamaludin, K. S. Yap, J. Willmott, 2023, Materials Science in Semiconductor Processing.

Application of Fuzzy Inference Rules to Early Semi-automatic Estimation of Activity Duration in Software Project Management

Hisao Ishibuchi, Yusuke Nojima, Hwa Jen Yap, 2014, IEEE Transactions on Human-Machine Systems.

Short Term Load Forecasting Using a Hybrid Neural Network

C.P. Lim, K.S. Yap, I.Z. Abidin, 2006, 2006 IEEE International Power and Energy Conference.

A Genetic Algorithm Based Fuzzy Inference System for Pattern Classification and Rule Extraction

Xiaochao Li, Keem Siah Yap, Shen Yuong Wong, 2018, International Journal of Engineering & Technology.

A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification

Hwa Jen Yap, Keem Siah Yap, Sheng Yuong Wong, 2019, Intell. Decis. Technol..

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.

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 .

Detection of abnormalities and electricity theft using genetic Support Vector Machines

Syed Khaleel Ahmed, S.K. Tiong, J. Nagi, 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.

Advances of metaheuristic algorithms in training neural networks for industrial applications

Hwa Jen Yap, Shing Chiang Tan, Keem Siah Yap, 2021, Soft Computing.

Genetic algorithm fuzzy logic for medical knowledge-based pattern classification

Hwa Jen Yap, Keem Siah Yap, Shen Yuong Wong, 2018 .

Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach

Hwa Jen Yap, Keem Siah Yap, Chin Hooi Tan, 2012, Appl. Soft Comput..

Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System

Keem Siah Yap, Shen Yuong Wong, Hwa Jen Yap, 2020, IEEE Access.

Extreme Learning Machine Neural Networks for Multi-Agent System in Power Generation

Keem Siah Yap, Shen Yuong Wong, Chin Hooi Tan, 2018, International Journal of Engineering & Technology.

An ELM Based Multi Agent Systems Using Certified Belief in Strength

Hwa Jen Yap, Keem Siah Yap, Ungku Anisa Ungku Amirulddin, 2014, ICONIP.

Non-Technical Loss analysis for detection of electricity theft using support vector machines

S.K. Tiong, J. Nagi, K.S. Yap, 2008, 2008 IEEE 2nd International Power and Energy Conference.

A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification

Hwa Jen Yap, Shing Chiang Tan, Keem Siah Yap, 2015, Neural Processing Letters.

A Constrained Optimization based Extreme Learning Machine for noisy data regression

Hwa Jen Yap, Keem Siah Yap, Sheng Yuong Wong, 2016, Neurocomputing.

Realization of a Hybrid Locally Connected Extreme Learning Machine With DeepID for Face Verification

Keem Siah Yap, Shen Yuong Wong, Xiaochao Li, 2019, IEEE Access.

A New Probabilistic Output Constrained Optimization Extreme Learning Machine

Keem Siah Yap, Shen Yuong Wong, K. S. Yap, 2020, IEEE Access.

On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation

Hwa Jen Yap, Shing Chiang Tan, Keem Siah Yap, 2015, IEEE Transactions on Neural Networks and Learning Systems.

A novel hybrid method of LSSVM-GA with multiple stage optimization for electricity price forecasting

Izham Zainal Abidin, Intan Azmira Wan Abdul Razak, Aidil Azwin Zainul Abidin, 2016, 2016 IEEE International Conference on Power and Energy (PECon).

Optimization of mechanical input power to synchronous generator based on Transient Stability Center-of-Inertia: COI angle and COI Speed

Ismail Musirin, Keem Siah Yap, H. Hashim, 2011, 2011 5th International Power Engineering and Optimization Conference.

Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines

Sieh Kiong Tiong, Keem Siah Yap, Jawad Nagi, 2010, IEEE Transactions on Power Delivery.

Electricity Price Prediction with Support Vector Machine and Bacterial Foraging Optimization Algorithm for Day-Ahead model

K. S. Yap, M. Nasir, I. Abidin, 2020, 2020 IEEE Student Conference on Research and Development (SCOReD).

A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification

Shing Chiang Tan, K. S. Yap, S. Wong, 2014, Neural Processing Letters.

Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy

Hwa Jen Yap, Keem Siah Yap, K. S. Yap, 2012, Neurocomputing.

Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm

Izham Zainal Abidin, Keem Siah Yap, Abdul Rahim Ahmad, 2007 .

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.