An ELM based multi agent systems using certified belief in strength

A trust measurement method called certified belief in strength (CBS) for Extreme Learning Machine (ELM) Multi Agent Systems (MAS) is proposed in this paper. The CBS method is used to improve the performance of the individual agents of the MAS, i.e., ELM neural network. Then, trust measurement is ach...

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Main Authors: Yaw C.T., Yap K.S., Yap H.J., Amirulddin U.A.U.
Other Authors: 36560884300
Format: Conference Paper
Published: Springer Verlag 2023
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spelling my.uniten.dspace-220242023-05-16T10:46:44Z An ELM based multi agent systems using certified belief in strength Yaw C.T. Yap K.S. Yap H.J. Amirulddin U.A.U. 36560884300 24448864400 35319362200 26422804600 A trust measurement method called certified belief in strength (CBS) for Extreme Learning Machine (ELM) Multi Agent Systems (MAS) is proposed in this paper. The CBS method is used to improve the performance of the individual agents of the MAS, i.e., ELM neural network. Then, trust measurement is achieved based on reputation and strength of the individual agents. In addition, trust is assemble from strong elements that are associated with the CBS which let the ELM to improve the performance of the MAS. The efficiency of the ELM-MAS-CBS model is verified with several activation function using benchmark datasets which are Pima Indians Diabetes (PID), Iris and Wine. The results show that the proposed ELM-MAS-CBS model is able to achieve better accuracy as compared with other approaches. © Springer International Publishing Switzerland 2014. Final 2023-05-16T02:46:44Z 2023-05-16T02:46:44Z 2014 Conference Paper 10.1007/978-3-319-12643-2_56 2-s2.0-84910022084 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84910022084&doi=10.1007%2f978-3-319-12643-2_56&partnerID=40&md5=61c0e3fc39b65260c79b4897f41e493f https://irepository.uniten.edu.my/handle/123456789/22024 8836 458 465 Springer Verlag Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description A trust measurement method called certified belief in strength (CBS) for Extreme Learning Machine (ELM) Multi Agent Systems (MAS) is proposed in this paper. The CBS method is used to improve the performance of the individual agents of the MAS, i.e., ELM neural network. Then, trust measurement is achieved based on reputation and strength of the individual agents. In addition, trust is assemble from strong elements that are associated with the CBS which let the ELM to improve the performance of the MAS. The efficiency of the ELM-MAS-CBS model is verified with several activation function using benchmark datasets which are Pima Indians Diabetes (PID), Iris and Wine. The results show that the proposed ELM-MAS-CBS model is able to achieve better accuracy as compared with other approaches. © Springer International Publishing Switzerland 2014.
author2 36560884300
author_facet 36560884300
Yaw C.T.
Yap K.S.
Yap H.J.
Amirulddin U.A.U.
format Conference Paper
author Yaw C.T.
Yap K.S.
Yap H.J.
Amirulddin U.A.U.
spellingShingle Yaw C.T.
Yap K.S.
Yap H.J.
Amirulddin U.A.U.
An ELM based multi agent systems using certified belief in strength
author_sort Yaw C.T.
title An ELM based multi agent systems using certified belief in strength
title_short An ELM based multi agent systems using certified belief in strength
title_full An ELM based multi agent systems using certified belief in strength
title_fullStr An ELM based multi agent systems using certified belief in strength
title_full_unstemmed An ELM based multi agent systems using certified belief in strength
title_sort elm based multi agent systems using certified belief in strength
publisher Springer Verlag
publishDate 2023
_version_ 1806427599222603776
score 13.188404