Training Fuzzy Cognitive Maps by using Hebbian learning algorithms

A comparative study

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

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

10 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 languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
Pages851-858
Number of pages8
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, Taiwan
Duration: Jun 27 2011Jun 30 2011

Other

Other2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
CountryTaiwan
CityTaipei
Period6/27/116/30/11

Fingerprint

Fuzzy Cognitive Maps
Hebbian Learning
Learning algorithms
Comparative Study
Learning Algorithm
Performance Index
System Modeling
Training
Model

Keywords

  • fuzzy cognitive maps
  • hebbian learning
  • system modeling
  • training

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Applied Mathematics
  • Theoretical Computer Science

Cite this

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 IEEE International Conference on Fuzzy Systems (pp. 851-858). [6007544] 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.

IEEE International Conference on Fuzzy Systems. 2011. p. 851-858 6007544.

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

Papakostas, GA, Polydoros, AS, Koulouriotis, DE & Tourassis, VD 2011, Training Fuzzy Cognitive Maps by using Hebbian learning algorithms: A comparative study. in IEEE International Conference on Fuzzy Systems., 6007544, 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
Papakostas GA, Polydoros AS, Koulouriotis DE, Tourassis VD. Training Fuzzy Cognitive Maps by using Hebbian learning algorithms: A comparative study. In IEEE International Conference on Fuzzy Systems. 2011. p. 851-858. 6007544 https://doi.org/10.1109/FUZZY.2011.6007544
Papakostas, G. A. ; Polydoros, A. S. ; Koulouriotis, D. E. ; Tourassis, V. D. / Training Fuzzy Cognitive Maps by using Hebbian learning algorithms : A comparative study. IEEE International Conference on Fuzzy Systems. 2011. pp. 851-858
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