A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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).

Original languageEnglish
Title of host publication2011 International Conference on Networking, Sensing and Control, ICNSC 2011
Pages74-79
Number of pages6
DOIs
Publication statusPublished - 11 Jul 2011
Event2011 International Conference on Networking, Sensing and Control, ICNSC 2011 - Delft, Netherlands
Duration: 11 Apr 201113 Apr 2011

Publication series

Name2011 International Conference on Networking, Sensing and Control, ICNSC 2011

Other

Other2011 International Conference on Networking, Sensing and Control, ICNSC 2011
CountryNetherlands
CityDelft
Period11/04/1113/04/11

Fingerprint

Multi agent systems
Learning systems
Pattern recognition
Decision making
Neural networks

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Systems Engineering

Cite this

Yap, K. S. (2011). A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism. In 2011 International Conference on Networking, Sensing and Control, ICNSC 2011 (pp. 74-79). [5874946] (2011 International Conference on Networking, Sensing and Control, ICNSC 2011). https://doi.org/10.1109/ICNSC.2011.5874946
Yap, Keem Siah. / A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism. 2011 International Conference on Networking, Sensing and Control, ICNSC 2011. 2011. pp. 74-79 (2011 International Conference on Networking, Sensing and Control, ICNSC 2011).
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title = "A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism",
abstract = "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).",
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Yap, KS 2011, A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism. in 2011 International Conference on Networking, Sensing and Control, ICNSC 2011., 5874946, 2011 International Conference on Networking, Sensing and Control, ICNSC 2011, pp. 74-79, 2011 International Conference on Networking, Sensing and Control, ICNSC 2011, Delft, Netherlands, 11/04/11. https://doi.org/10.1109/ICNSC.2011.5874946

A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism. / Yap, Keem Siah.

2011 International Conference on Networking, Sensing and Control, ICNSC 2011. 2011. p. 74-79 5874946 (2011 International Conference on Networking, Sensing and Control, ICNSC 2011).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Yap KS. A new multi agent system based on online sequential extreme learning machines and Bayesian Formalism. In 2011 International Conference on Networking, Sensing and Control, ICNSC 2011. 2011. p. 74-79. 5874946. (2011 International Conference on Networking, Sensing and Control, ICNSC 2011). https://doi.org/10.1109/ICNSC.2011.5874946