An ELM based multi agent systems using certified belief in strength

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

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationNeural Information Processing - 21st International Conference, ICONIP 2014, Proceedings
PublisherSpringer Verlag
Pages458-465
Number of pages8
Volume8836
ISBN (Electronic)9783319126425
Publication statusPublished - 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8836
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fingerprint

Extreme Learning Machine
Multi agent systems
Multi-agent Systems
Learning systems
Wine
Medical problems
Diabetes
Iris
Activation Function
Chemical activation
Beliefs
Neural networks
Neural Networks
Benchmark
Model

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Yaw, C. T., Yap, K. S., Yap, H. J., & Ungku Amirulddin Al Amin, U. A. (2014). An ELM based multi agent systems using certified belief in strength. In Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings (Vol. 8836, pp. 458-465). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8836). Springer Verlag.
Yaw, Chong Tak ; Yap, Keem Siah ; Yap, Hwa Jen ; Ungku Amirulddin Al Amin, Ungku Anisa. / An ELM based multi agent systems using certified belief in strength. Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Vol. 8836 Springer Verlag, 2014. pp. 458-465 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "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.",
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Yaw, CT, Yap, KS, Yap, HJ & Ungku Amirulddin Al Amin, UA 2014, An ELM based multi agent systems using certified belief in strength. in Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. vol. 8836, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8836, Springer Verlag, pp. 458-465.

An ELM based multi agent systems using certified belief in strength. / Yaw, Chong Tak; Yap, Keem Siah; Yap, Hwa Jen; Ungku Amirulddin Al Amin, Ungku Anisa.

Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Vol. 8836 Springer Verlag, 2014. p. 458-465 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8836).

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

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T1 - An ELM based multi agent systems using certified belief in strength

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AU - Yap, Keem Siah

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AB - 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.

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M3 - Conference contribution

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Yaw CT, Yap KS, Yap HJ, Ungku Amirulddin Al Amin UA. An ELM based multi agent systems using certified belief in strength. In Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings. Vol. 8836. Springer Verlag. 2014. p. 458-465. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).