A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism
In this article, a new Multi Agent System based on Online Sequential Extreme Learning Machine (OSELM) neural network and Bayesian Formalism (MAS-OSELM-BF) is introduced. It is an improvement of a single OSELM (single agent) by combined multiple OSELMs (multi agents) with a final decision making modu...
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2023
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| _version_ | 1833352276296597504 |
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| author | Yap K.S. |
| author2 | 24448864400 |
| author_facet | 24448864400 Yap K.S. |
| author_sort | Yap K.S. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | In this article, a new Multi Agent System based on Online Sequential Extreme Learning Machine (OSELM) neural network and Bayesian Formalism (MAS-OSELM-BF) is introduced. It is an improvement of a single OSELM (single agent) by combined multiple OSELMs (multi agents) with a final decision making module (parent agent). Here, the development of the parent agent is motivated by the Bayesian Formalism. A series of empirical studies to assess the effectiveness of the MAS-OSELM-BF in pattern classification tasks is conducted. The results demonstrated that the MAS-OSELM-BF able to produce good performance as compared with a single OSELM and other method that employed ensemble OSLEM (EOSELM). � 2011 IEEE. |
| format | Conference paper |
| id | my.uniten.dspace-30469 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| record_format | dspace |
| spelling | my.uniten.dspace-304692023-12-29T15:48:14Z A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism Yap K.S. 24448864400 Bayesian Formalism Multi Agent System Online Sequential Extreme Learning Machine Pattern Classification Decision making E-learning Learning systems Neural networks Sequential machines Bayesian Formalism Empirical studies Multi agent Online Sequential Extreme Learning Machine Single-agent Multi agent systems In this article, a new Multi Agent System based on Online Sequential Extreme Learning Machine (OSELM) neural network and Bayesian Formalism (MAS-OSELM-BF) is introduced. It is an improvement of a single OSELM (single agent) by combined multiple OSELMs (multi agents) with a final decision making module (parent agent). Here, the development of the parent agent is motivated by the Bayesian Formalism. A series of empirical studies to assess the effectiveness of the MAS-OSELM-BF in pattern classification tasks is conducted. The results demonstrated that the MAS-OSELM-BF able to produce good performance as compared with a single OSELM and other method that employed ensemble OSLEM (EOSELM). � 2011 IEEE. Final 2023-12-29T07:48:13Z 2023-12-29T07:48:13Z 2011 Conference paper 10.1109/ICNSC.2011.5874946 2-s2.0-79959990546 https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959990546&doi=10.1109%2fICNSC.2011.5874946&partnerID=40&md5=fa74bfc897f54cf27b4c086ed4102200 https://irepository.uniten.edu.my/handle/123456789/30469 5874946 74 79 Scopus |
| spellingShingle | Bayesian Formalism Multi Agent System Online Sequential Extreme Learning Machine Pattern Classification Decision making E-learning Learning systems Neural networks Sequential machines Bayesian Formalism Empirical studies Multi agent Online Sequential Extreme Learning Machine Single-agent Multi agent systems Yap K.S. A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism |
| title | A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism |
| title_full | A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism |
| title_fullStr | A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism |
| title_full_unstemmed | A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism |
| title_short | A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism |
| title_sort | new multi agent system based on online sequential extreme learning machines and bayesian formalism |
| topic | Bayesian Formalism Multi Agent System Online Sequential Extreme Learning Machine Pattern Classification Decision making E-learning Learning systems Neural networks Sequential machines Bayesian Formalism Empirical studies Multi agent Online Sequential Extreme Learning Machine Single-agent Multi agent systems |
| url_provider | http://dspace.uniten.edu.my/ |