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2020 – today
- 2021
[j19]Hue Yee Chong, Hwa Jen Yap
, Shing Chiang Tan, Keem Siah Yap, Shen Yuong Wong:
Advances of metaheuristic algorithms in training neural networks for industrial applications. Soft Comput. 25(16): 11209-11233 (2021)- 2020
- [j18]Shen Yuong Wong, Keem Siah Yap, Xiaochao Li:
A New Probabilistic Output Constrained Optimization Extreme Learning Machine. IEEE Access 8: 28934-28946 (2020) - [j17]Chong Tak Yaw, Keem Siah Yap, Shen Yuong Wong, Hwa Jen Yap, Johnny Siaw Paw Koh:
Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System. IEEE Access 8: 163026-163043 (2020) - [j16]Waraporn Fangrit, Hwa Jen Yap, Mukhtar Fatihu Hamza, Siow-Wee Chang, Keem Siah Yap, Shen Yuong Wong:
An efficiency improvement of flexible flow shop scheduling in automotive part company. Intell. Decis. Technol. 14(4): 493-506 (2020)
2010 – 2019
- 2019
- [j15]Shen Yuong Wong, Keem Siah Yap, Qingwei Zhai, Xiaochao Li:
Realization of a Hybrid Locally Connected Extreme Learning Machine With DeepID for Face Verification. IEEE Access 7: 70447-70460 (2019) - [j14]Shen Yuong Wong, Keem Siah Yap, Chee Peng Lim, Eric Wai Ming Lee:
Hybrid Data Regression Model Based on the Generalized Adaptive Resonance Theory Neural Network. IEEE Access 7: 116438-116452 (2019) - [j13]Shoun Ying Leow, Shen Yuong Wong, Keem Siah Yap, Hwa Jen Yap:
A hybrid algorithm of interval type-2 fuzzy logic system and generalized adaptive resonance theory for medical data classification. Intell. Decis. Technol. 13(1): 81-89 (2019) - 2018
- [j12]Chong Tak Yaw, Shen Yuong Wong, Keem Siah Yap, Hwa Jen Yap, Ungku Anisa Ungku Amirulddin, Shing Chiang Tan:
An ELM based multi-agent system and its applications to power generation. Intell. Decis. Technol. 12(2): 163-171 (2018) - 2017
- [j11]Chong Tak Yaw, Shen Yuong Wong, Keem Siah Yap, Hwa Jen Yap, Ungku Anisa Ungku Amirulddin, Shing Chiang Tan:
An ELM based Multi-Agent System and its applications to power generation. Intell. Decis. Technol. 11(3): 297-305 (2017) - 2016
- [j10]Shen Yuong Wong, Keem Siah Yap, Hwa Jen Yap:
A Constrained Optimization based Extreme Learning Machine for noisy data regression. Neurocomputing 171: 1431-1443 (2016) - 2015
- [j9]Shen Yuong Wong, Keem Siah Yap, Hwa Jen Yap, Shing Chiang Tan:
A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification. Neural Process. Lett. 42(3): 585-602 (2015) - [j8]Sheng Yuong Wong, Keem Siah Yap, Hwa Jen Yap, Shing Chiang Tan, Siow-Wee Chang:
On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1417-1430 (2015) - 2014
- [j7]Chin Hooi Tan, Keem Siah Yap, Hisao Ishibuchi, Yusuke Nojima, Hwa Jen Yap:
Application of Fuzzy Inference Rules to Early Semi-automatic Estimation of Activity Duration in Software Project Management. IEEE Trans. Hum. Mach. Syst. 44(5): 678-688 (2014) - [c4]Chong Tak Yaw, Keem Siah Yap, Hwa Jen Yap, Ungku Anisa Ungku Amirulddin:
An ELM Based Multi Agent Systems Using Certified Belief in Strength. ICONIP (3) 2014: 458-465 - [c3]Sheng Yuong Wong, Keem Siah Yap, Hwa Jen Yap:
Constrained-Optimization-Based Bayesian Posterior Probability Extreme Learning Machine for Pattern Classification. ICONIP (3) 2014: 466-473 - [e3]Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang:
Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I. Lecture Notes in Computer Science 8834, Springer 2014, ISBN 978-3-319-12636-4 [contents] - [e2]Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang:
Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II. Lecture Notes in Computer Science 8835, Springer 2014, ISBN 978-3-319-12639-5 [contents] - [e1]Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh Beng Jin, Kaizhu Huang:
Neural Information Processing - 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III. Lecture Notes in Computer Science 8836, Springer 2014, ISBN 978-3-319-12642-5 [contents] - 2013
- [c2]Keem Siah Yap, Sheng Yuong Wong, Sheih Kiong Tiong:
Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection. ETFA 2013: 1-4 - 2012
- [j6]Chin Hooi Tan, Keem Siah Yap, Hwa Jen Yap:
Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach. Appl. Soft Comput. 12(8): 2168-2177 (2012) - [j5]Keem Siah Yap, Hwa Jen Yap:
Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy. Neurocomputing 81: 108-112 (2012) - 2011
- [j4]Jawad Nagi, Keem Siah Yap, Farrukh Nagi, Sieh Kiong Tiong, Syed Khaleel Ahmed:
A computational intelligence scheme for the prediction of the daily peak load. Appl. Soft Comput. 11(8): 4773-4788 (2011) - [j3]Keem Siah Yap, Chee Peng Lim, Mau Teng Au:
Improved GART Neural Network Model for Pattern Classification and Rule Extraction With Application to Power Systems. IEEE Trans. Neural Networks 22(12): 2310-2323 (2011) - [c1]Keem Siah Yap:
A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism. ICNSC 2011: 74-79 - 2010
- [j2]Keem Siah Yap, Chee Peng Lim, Junita Mohamad-Saleh:
An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification. J. Intell. Fuzzy Syst. 21(1-2): 65-78 (2010)
2000 – 2009
- 2008
- [j1]Keem Siah Yap, Chee Peng Lim, I. Z. Abidi:
A Hybrid ART-GRNN Online Learning Neural Network With a varepsilon -Insensitive Loss Function. IEEE Trans. Neural Networks 19(9): 1641-1646 (2008)
Coauthor Index
aka: Shen Yuong Wong
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