Yaw, C.T. and Wong, S.Y. and Yap, K.S. and Yap, H.J. and Amirulddin, U.A.U. and Tan, S.C. (2017) An ELM based Multi-Agent System and its applications to power generation. Intelligent Decision Technologies, 11 (3). pp. 297-305. ISSN 1872-4981, DOI https://doi.org/10.3233/IDT-170296.
Full text not available from this repository.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 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.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Certified belief in strength; Extreme learning machine; Neural network; Multi-Agent System; Pattern classification; Power generation |
| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 31 Jul 2018 02:46 |
| Last Modified: | 31 Jul 2018 02:46 |
| URI: | http://eprints.um.edu.my/id/eprint/18948 |
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