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 Al Amin, Shing Chiang Tan

Research output: Contribution to journalArticle

Abstract

This paper presents an implementation of Extreme Learning Machine (ELM) in the Multi-Agent System (MAS). The proposed method is a trust measurement approach namely Certified Belief in Strength (CBS) for Extreme Learning Machine in Multi-Agent Systems (ELM-MAS-CBS). The CBS is applied on the individual agents of MAS, i.e., ELM neural network. The trust measurement is introduced to compute reputation and strength of the individual agents. Strong elements that are related to the ELM agents are assembled to form the trust management in which will be letting the CBS method to improve the performance in MAS. The efficacy of the ELM-MAS-CBS model is verified with several activation functions using benchmark datasets (i.e., Pima Indians Diabetes, Iris and Wine) and real world applications (i.e., circulating water systems and governor). The results show that the proposed ELM-MAS-CBS model is able to achieve better accuracy as compared with other approaches.

Original languageEnglish
Pages (from-to)163-171
Number of pages9
JournalIntelligent Decision Technologies
Volume12
Issue number2
DOIs
Publication statusPublished - 01 Jan 2018

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Multi agent systems
Power generation
Learning systems
Governors
Wine
Medical problems
Chemical elements
Chemical activation
Neural networks
Water

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Cite this

Yaw, Chong Tak ; Wong, Shen Yuong ; Yap, Keem Siah ; Yap, Hwa Jen ; Ungku Amirulddin Al Amin, Ungku Anisa ; Tan, Shing Chiang. / An ELM based multi-agent system and its applications to power generation. In: Intelligent Decision Technologies. 2018 ; Vol. 12, No. 2. pp. 163-171.
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An ELM based multi-agent system and its applications to power generation. / Yaw, Chong Tak; Wong, Shen Yuong; Yap, Keem Siah; Yap, Hwa Jen; Ungku Amirulddin Al Amin, Ungku Anisa; Tan, Shing Chiang.

In: Intelligent Decision Technologies, Vol. 12, No. 2, 01.01.2018, p. 163-171.

Research output: Contribution to journalArticle

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