A Hybrid ART-GRNN Online Learning Neural Network With a varepsilon -Insensitive Loss Function. - Keem Siah Yap; Chee Peng Lim; I. Z. Abidi (IEEE Trans. Neural Networks, 2008)

An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification. - Keem Siah Yap; Chee Peng Lim; Junita Mohamad-Saleh (J. Intell. Fuzzy Syst., 2010)

A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism. - Keem Siah Yap (ICNSC, 2011)

A computational intelligence scheme for the prediction of the daily peak load. - Jawad Nagi; Keem Siah Yap; Farrukh Nagi; Sieh Kiong Tiong; Syed Khaleel Ahmed (Appl. Soft Comput., 2011)

Improved GART Neural Network Model for Pattern Classification and Rule Extraction With Application to Power Systems. - Keem Siah Yap; Chee Peng Lim; Mau Teng Au (IEEE Trans. Neural Networks, 2011)

Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach. - Chin Hooi Tan; Keem Siah Yap; Hwa Jen Yap (Appl. Soft Comput., 2012)

Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy. - Keem Siah Yap; Hwa Jen Yap (Neurocomputing, 2012)

Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection. - Keem Siah Yap; Sheng Yuong Wong; Sheih Kiong Tiong (ETFA, 2013)

Constrained-Optimization-Based Bayesian Posterior Probability Extreme Learning Machine for Pattern Classification. - Sheng Yuong Wong; Keem Siah Yap; Hwa Jen Yap (ICONIP (3), 2014)

An ELM Based Multi Agent Systems Using Certified Belief in Strength. - Chong Tak Yaw; Keem Siah Yap; Hwa Jen Yap; Ungku Anisa Ungku Amirulddin (ICONIP (3), 2014)

Application of Fuzzy Inference Rules to Early Semi-automatic Estimation of Activity Duration in Software Project Management. - Chin Hooi Tan; Keem Siah Yap; Hisao Ishibuchi; Yusuke Nojima; Hwa Jen Yap (IEEE Trans. Hum. Mach. Syst., 2014)

A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification. - Shen Yuong Wong; Keem Siah Yap; Hwa Jen Yap; Shing Chiang Tan (Neural Process. Lett., 2015)

On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation. - Sheng Yuong Wong; Keem Siah Yap; Hwa Jen Yap; Shing Chiang Tan; Siow-Wee Chang (IEEE Trans. Neural Networks Learn. Syst., 2015)

A Constrained Optimization based Extreme Learning Machine for noisy data regression. - Shen Yuong Wong; Keem Siah Yap; Hwa Jen Yap (Neurocomputing, 2016)

An ELM based multi-agent system and its applications to power generation. - Chong Tak Yaw; Shen Yuong Wong; Keem Siah Yap; Hwa Jen Yap; Ungku Anisa Ungku Amirulddin; Shing Chiang Tan (Intell. Decis. Technol., 2018)

Hybrid Data Regression Model Based on the Generalized Adaptive Resonance Theory Neural Network. - Shen Yuong Wong; Keem Siah Yap; Chee Peng Lim; Eric Wai Ming Lee (IEEE Access, 2019)

Realization of a Hybrid Locally Connected Extreme Learning Machine With DeepID for Face Verification. - Shen Yuong Wong; Keem Siah Yap; Qingwei Zhai; Xiaochao Li (IEEE Access, 2019)

A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification. - Shoun Ying Leow; Shen Yuong Wong; Keem Siah Yap; Hwa Jen Yap (Intell. Decis. Technol., 2019)

A New Probabilistic Output Constrained Optimization Extreme Learning Machine. - Shen Yuong Wong; Keem Siah Yap; Xiaochao Li (IEEE Access, 2020)

Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System. - Chong Tak Yaw; Keem Siah Yap; Shen Yuong Wong; Hwa Jen Yap; Johnny Siaw Paw Koh (IEEE Access, 2020)

An efficiency improvement of flexible flow shop scheduling in automotive part company. - Waraporn Fangrit; Hwa Jen Yap; Mukhtar Fatihu Hamza; Siow-Wee Chang; Keem Siah Yap; Shen Yuong Wong (Intell. Decis. Technol., 2020)

Advances of metaheuristic algorithms in training neural networks for industrial applications. - Hue Yee Chong; Hwa Jen Yap; Shing Chiang Tan; Keem Siah Yap; Shen Yuong Wong (Soft Comput., 2021)