An ELM based multi-agent system and its applications to power generation
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 individu...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Published: |
IOS Press
2018
|
| Subjects: |
| _version_ | 1825721468182331392 |
|---|---|
| author | Yaw, Chong Tak Wong, Shen Yuong Yap, Keem Siah Yap, Hwa Jen Amirulddin, Ungku Anisa Ungku Tan, Shing Chiang |
| author_facet | Yaw, Chong Tak Wong, Shen Yuong Yap, Keem Siah Yap, Hwa Jen Amirulddin, Ungku Anisa Ungku Tan, Shing Chiang |
| author_sort | Yaw, Chong Tak |
| collection | UM |
| description | 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. |
| first_indexed | 2024-03-06T05:50:46Z |
| format | Article |
| id | um.eprints-20289 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:50:46Z |
| publishDate | 2018 |
| publisher | IOS Press |
| record_format | dspace |
| spelling | um.eprints-202892019-02-13T06:40:56Z http://eprints.um.edu.my/20289/ An ELM based multi-agent system and its applications to power generation Yaw, Chong Tak Wong, Shen Yuong Yap, Keem Siah Yap, Hwa Jen Amirulddin, Ungku Anisa Ungku Tan, Shing Chiang TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering 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. IOS Press 2018 Article PeerReviewed Yaw, Chong Tak and Wong, Shen Yuong and Yap, Keem Siah and Yap, Hwa Jen and Amirulddin, Ungku Anisa Ungku and Tan, Shing Chiang (2018) An ELM based multi-agent system and its applications to power generation. Intelligent Decision Technologies, 12 (2). pp. 163-171. ISSN 1872-4981, DOI https://doi.org/10.3233/IDT-180325 <https://doi.org/10.3233/IDT-180325>. https://doi.org/10.3233/IDT-180325 doi:10.3233/IDT-180325 |
| spellingShingle | TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering Yaw, Chong Tak Wong, Shen Yuong Yap, Keem Siah Yap, Hwa Jen Amirulddin, Ungku Anisa Ungku Tan, Shing Chiang An ELM based multi-agent system and its applications to power generation |
| title | 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_short | 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 |
| topic | TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT yawchongtak anelmbasedmultiagentsystemanditsapplicationstopowergeneration AT wongshenyuong anelmbasedmultiagentsystemanditsapplicationstopowergeneration AT yapkeemsiah anelmbasedmultiagentsystemanditsapplicationstopowergeneration AT yaphwajen anelmbasedmultiagentsystemanditsapplicationstopowergeneration AT amirulddinungkuanisaungku anelmbasedmultiagentsystemanditsapplicationstopowergeneration AT tanshingchiang anelmbasedmultiagentsystemanditsapplicationstopowergeneration AT yawchongtak elmbasedmultiagentsystemanditsapplicationstopowergeneration AT wongshenyuong elmbasedmultiagentsystemanditsapplicationstopowergeneration AT yapkeemsiah elmbasedmultiagentsystemanditsapplicationstopowergeneration AT yaphwajen elmbasedmultiagentsystemanditsapplicationstopowergeneration AT amirulddinungkuanisaungku elmbasedmultiagentsystemanditsapplicationstopowergeneration AT tanshingchiang elmbasedmultiagentsystemanditsapplicationstopowergeneration |