Keem Siah Yap

Orcid: 0000-0002-5518-5132

According to our database1, Keem Siah Yap authored at least 22 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Advances of metaheuristic algorithms in training neural networks for industrial applications.
Soft Comput., 2021

2020
An efficiency improvement of flexible flow shop scheduling in automotive part company.
Intell. Decis. Technol., 2020

Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System.
IEEE Access, 2020

A New Probabilistic Output Constrained Optimization Extreme Learning Machine.
IEEE Access, 2020

2019
A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification.
Intell. Decis. Technol., 2019

Realization of a Hybrid Locally Connected Extreme Learning Machine With DeepID for Face Verification.
IEEE Access, 2019

Hybrid Data Regression Model Based on the Generalized Adaptive Resonance Theory Neural Network.
IEEE Access, 2019

2018
An ELM based multi-agent system and its applications to power generation.
Intell. Decis. Technol., 2018

2016
A Constrained Optimization based Extreme Learning Machine for noisy data regression.
Neurocomputing, 2016

2015
On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation.
IEEE Trans. Neural Networks Learn. Syst., 2015

A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification.
Neural Process. Lett., 2015

2014
Application of Fuzzy Inference Rules to Early Semi-automatic Estimation of Activity Duration in Software Project Management.
IEEE Trans. Hum. Mach. Syst., 2014

An ELM Based Multi Agent Systems Using Certified Belief in Strength.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Constrained-Optimization-Based Bayesian Posterior Probability Extreme Learning Machine for Pattern Classification.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection.
Proceedings of 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation, 2013

2012
Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy.
Neurocomputing, 2012

Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach.
Appl. Soft Comput., 2012

2011
Improved GART Neural Network Model for Pattern Classification and Rule Extraction With Application to Power Systems.
IEEE Trans. Neural Networks, 2011

A computational intelligence scheme for the prediction of the daily peak load.
Appl. Soft Comput., 2011

A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2011

2010
An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification.
J. Intell. Fuzzy Syst., 2010

2008
A Hybrid ART-GRNN Online Learning Neural Network With a varepsilon -Insensitive Loss Function.
IEEE Trans. Neural Networks, 2008


  Loading...