An ELM based multi-agent system and its applications to power generation
Benchmarking; Electric circuit breakers; Knowledge acquisition; Learning systems; Neural networks; Pattern recognition; Power generation; Activation functions; Benchmark datasets; Certified belief in strength; Circulating water system; Extreme learning machine; ITS applications; Trust management; Tr...
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2023
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my.uniten.dspace-234002023-05-29T14:40:11Z An ELM based multi-agent system and its applications to power generation Yaw C.T. Wong S.Y. Yap K.S. Yap H.J. Amirulddin U.A.U. Tan S.C. 36560884300 55812054100 24448864400 35319362200 26422804600 7403366395 Benchmarking; Electric circuit breakers; Knowledge acquisition; Learning systems; Neural networks; Pattern recognition; Power generation; Activation functions; Benchmark datasets; Certified belief in strength; Circulating water system; Extreme learning machine; ITS applications; Trust management; Trust measurement; Multi agent systems 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 andWine) 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. � 2017 - IOS Press and the authors. Final 2023-05-29T06:40:11Z 2023-05-29T06:40:11Z 2017 Article 10.3233/IDT-170296 2-s2.0-85032802156 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032802156&doi=10.3233%2fIDT-170296&partnerID=40&md5=16994184a1bd10bbe673b567b101ae25 https://irepository.uniten.edu.my/handle/123456789/23400 11 3 297 305 IOS Press Scopus |
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| description |
Benchmarking; Electric circuit breakers; Knowledge acquisition; Learning systems; Neural networks; Pattern recognition; Power generation; Activation functions; Benchmark datasets; Certified belief in strength; Circulating water system; Extreme learning machine; ITS applications; Trust management; Trust measurement; Multi agent systems |
| author2 |
36560884300 |
| author_facet |
36560884300 Yaw C.T. Wong S.Y. Yap K.S. Yap H.J. Amirulddin U.A.U. Tan S.C. |
| format |
Article |
| author |
Yaw C.T. Wong S.Y. Yap K.S. Yap H.J. Amirulddin U.A.U. Tan S.C. |
| spellingShingle |
Yaw C.T. Wong S.Y. Yap K.S. Yap H.J. Amirulddin U.A.U. Tan S.C. An ELM based multi-agent system and its applications to power generation |
| author_sort |
Yaw C.T. |
| title |
An ELM based multi-agent system and its applications to power generation |
| title_short |
An ELM based multi-agent system and its applications to power generation |
| title_full |
An ELM based multi-agent system and its applications to power generation |
| title_fullStr |
An ELM based multi-agent system and its applications to power generation |
| title_full_unstemmed |
An ELM based multi-agent system and its applications to power generation |
| title_sort |
elm based multi-agent system and its applications to power generation |
| publisher |
IOS Press |
| publishDate |
2023 |
| _version_ |
1806427566435729408 |
| score |
13.214268 |