Search Results - "Yap, Keem Siah"

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration by Abdullah, Shafika Sultan, Malek, M.A., Abdullah, Namiq Sultan, Kisi, Ozgur, Yap, Keem Siah

“…•ELM model is proposed for prediction of ET0 in Iraq.•The ELM is more efficient than FFBP model.•The proposed ELM is efficient in predicting ET0 with complete…”
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On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation by Wong, Shen Yuong, Yap, Keem Siah, Yap, Hwa Jen, Tan, Shing Chiang, Chang, Siow Wee

“…This paper presents a fuzzy extreme learning machine (F-ELM) that embeds fuzzy membership functions and rules into the hidden layer of extreme learning machine…”
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Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines by Nagi, J., Yap, K.S., Sieh Kiong Tiong, Ahmed, S.K., Mohamad, M.

“…Electricity consumer dishonesty is a problem faced by all power utilities. Finding efficient measurements for detecting fraudulent electricity consumption has…”
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Advances of metaheuristic algorithms in training neural networks for industrial applications by Chong, Hue Yee, Yap, Hwa Jen, Tan, Shing Chiang, Yap, Keem Siah, Wong, Shen Yuong

“…In recent decades, researches on optimizing the parameter of the artificial neural network (ANN) model has attracted significant attention from researchers…”
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Improving SVM-Based Nontechnical Loss Detection in Power Utility Using the Fuzzy Inference System by Nagi, J, Keem Siah Yap, Sieh Kiong Tiong, Ahmed, S K, Nagi, F

“…This letter extends previous research work in modeling a nontechnical loss (NTL) framework for the detection of fraud and electricity theft in power…”
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A Constrained Optimization based Extreme Learning Machine for noisy data regression by Yuong Wong, Shen, Siah Yap, Keem, Jen Yap, Hwa

“…Most of the existing Artificial Intelligence (AI) models for data regression commonly assume that the data samples are completely clean without noise or worst…”
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A New Probabilistic Output Constrained Optimization Extreme Learning Machine by Wong, Shen Yuong, Yap, Keem Siah, Li, Xiao Chao

“…In near decades machine learning approaches have received overwhelming attention from many researchers for solving problems that cannot be ironed out by…”
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Realization of a Hybrid Locally Connected Extreme Learning Machine With DeepID for Face Verification by Wong, Shen Yuong, Yap, Keem Siah, Zhai, Qingwei, Li, Xiaochao

“…Most existing state-of-the-art deep learning algorithms discover sophisticated representations in huge datasets using convolutional neural networks (CNNs) that…”
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Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy by Siah Yap, Keem, Jen Yap, Hwa

“…In the previous research, a Multi-Agent System based on Online Sequential Extreme Learning Machine (OSELM) neural network and Bayesian Formalism (MAS-OSELM-BF)…”
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Application of Fuzzy Inference Rules to Early Semi-automatic Estimation of Activity Duration in Software Project Management by Chin Hooi Tan, Keem Siah Yap, Ishibuchi, Hisao, Nojima, Yusuke, Hwa Jen Yap

“…Expert judgment is widely used for activity duration estimation in software project management. While there are both advantages and disadvantages of expert…”
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Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System by Yaw, Chong Tak, Yap, Keem Siah, Wong, Shen Yuong, Yap, Hwa Jen, Paw, Johnny Koh Siew

“…Extreme Learning Machine improved the iterative procedures of adjusting weights by randomly selecting hidden neurons besides analytically determining the…”
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Hybrid Data Regression Model Based on the Generalized Adaptive Resonance Theory Neural Network by Wong, Shen Yuong, Yap, Keem Siah, Lim, Chee Peng, Lee, Eric Wai Ming

“…The Generalized Adaptive Resonance Theory (GART) model is a supervised online learning neural network based on an integration of Adaptive Resonance Theory…”
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Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection by Keem Siah Yap, Sheng Yuong Wong, Sheih Kiong Tiong

“…The fuzzy rule sets, which have been derived from the hybrid neural network model, called the O-EGART-PR-FIS, is an integration of the Adaptive Resonance…”
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MOSELM approach for Voltage Stability Indicator using phasor measurement units by Abidin, I. Z., Keem Siah Yap, Saadun, N., Abdullah, S. K. S., Mohd Sarmin, M. K. N.

“…Voltage stability assessment is important in order to ensure a stable power system. Two algorithms were discussed in this paper which looks into estimating…”
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A computational intelligence scheme for the prediction of the daily peak load by Nagi, Jawad, Yap, Keem Siah, Nagi, Farrukh, Tiong, Sieh Kiong, Ahmed, Syed Khaleel

“…Forecasting of future electricity demand is very important for decision making in power system operation and planning. In recent years, due to privatization…”
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Improved GART Neural Network Model for Pattern Classification and Rule Extraction With Application to Power Systems by Yap, Keem Siah, Lim, Chee Peng, Au, Mau Teng

“…Generalized adaptive resonance theory (GART) is a neural network model that is capable of online learning and is effective in tackling pattern classification…”
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A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism by Keem Siah Yap

“…In this article, a new Multi Agent System based on Online Sequential Extreme Learning Machine (OSELM) neural network and Bayesian Formalism (MAS-OSELM-BF) is…”
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A new hybrid fuzzy ARTMAP and radial basis function neural network with online pruning strategy by Shoun Ying Leow, Shen Yuong Wong, Keem Siah Yap, Hwa Jen Yap

“…In this paper, a new online learning algorithm is proposed to learn a data sample in hybrid mode. This new algorithm is developed and referred as Growing and…”
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Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach by Tan, Chin Hooi, Yap, Keem Siah, Yap, Hwa Jen

“…[Display omitted] ► This paper presents the optimization of fourteen fuzzy rules for semi expert judgment automation in software project management. ► The goal…”
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A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification by Wong, Shen Yuong, Yap, Keem Siah, Yap, Hwa Jen, Tan, Shing Chiang

“…This paper presents a Hybrid Fuzzy ARTMAP (FAM) and Online Extreme learning machine (OELM), hereafter denoted as FAM-OELM, which enables online learning to…”
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