Training Fuzzy Cognitive Maps by using Hebbian learning algorithms: A comparative study

G. A. Papakostas; A. S. Polydoros; D. E. Koulouriotis; V. D. Tourassis

doi:10.1109/FUZZY.2011.6007544

Training Fuzzy Cognitive Maps by using Hebbian learning algorithms: A comparative study

G. A. Papakostas, A. S. Polydoros, D. E. Koulouriotis, V. D. Tourassis

School of Engineering and Digital Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Citations (Scopus)

Abstract

A detailed analysis of the Hebbian-like learning algorithms applied to train Fuzzy Cognitive Maps (FCMs) is presented in this paper. These algorithms aim to find appropriate weights between the concepts of the FCM so the model equilibrates to a desired state. For this manner, four different types of Hebbian learning algorithms have been proposed in the past. Along with the theoretical description of these algorithms, their performance in system modeling problems is investigated in this work. The algorithms are studied in a comparative fashion by using appropriate performance indices and useful conclusions about their training capabilities are experimentally derived.

Original language	English
Title of host publication	FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
Pages	851-858
Number of pages	8
DOIs	https://doi.org/10.1109/FUZZY.2011.6007544
Publication status	Published - Sep 27 2011
Event	2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, Taiwan Duration: Jun 27 2011 → Jun 30 2011

Publication series

Name	IEEE International Conference on Fuzzy Systems
ISSN (Print)	1098-7584

Other

Other	2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
Country	Taiwan
City	Taipei
Period	6/27/11 → 6/30/11

Keywords

fuzzy cognitive maps
hebbian learning
system modeling
training

ASJC Scopus subject areas

Software
Theoretical Computer Science
Artificial Intelligence
Applied Mathematics

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Papakostas, G. A., Polydoros, A. S., Koulouriotis, D. E., & Tourassis, V. D. (2011). Training Fuzzy Cognitive Maps by using Hebbian learning algorithms: A comparative study. In FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 851-858). [6007544] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2011.6007544

Training Fuzzy Cognitive Maps by using Hebbian learning algorithms : A comparative study. / Papakostas, G. A.; Polydoros, A. S.; Koulouriotis, D. E.; Tourassis, V. D.

FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings. 2011. p. 851-858 6007544 (IEEE International Conference on Fuzzy Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Papakostas, GA, Polydoros, AS, Koulouriotis, DE & Tourassis, VD 2011, Training Fuzzy Cognitive Maps by using Hebbian learning algorithms: A comparative study. in FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings., 6007544, IEEE International Conference on Fuzzy Systems, pp. 851-858, 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011, Taipei, Taiwan, 6/27/11. https://doi.org/10.1109/FUZZY.2011.6007544

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