ISSN 2673-494X
Two-page Reports on Science

Cuban Sci. 2021, 2(2): 7–8

Published on 5 Nov 2021 PDF (144K)
A Note on Deterministic Learning of Hybrid Fuzzy Cognitive Maps and Network Reduction Approaches
Gonzalo Nápoles, Agnieszka Jastrzebska, Carlos Mosquera, Koen Vanhoof, Władysław Homenda
  • Faculty of Business Economics, Universiteit Hasselt, Belgium
  • Department of Cognitive Science & Artificial Intelligence, Tilburg University, Netherlands
  • Faculty of Mathematics and Information Science, Warsaw University of Technology, Poland
  • Faculty of Sciences and Bioengineering Sciences, Vrije Universiteit Brussel, Belgium
“We have proposed a hybrid Fuzzy Cognitive Map-based model that incorporates static expert knowledge and information automatically inferred from the data. The paper introduces a fast and deterministic algorithm to construct such a model and a post-optimization procedure to fine-tune the resulting architecture. Simulations showed the superiority of our proposal in problems devoted to modeling complex systems.”

References

  1. Nápoles, G., Jastrzebska, A., Mosquera, C., Vanhoof, K., Homenda, W., Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches, Neural Networks, Volume 124 (2020) Pages 258–268