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Foundations of Computational, Intelligence Volume 1 pp 143–158Cite as

Three-Term Fuzzy Back-Propagation

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 201))

Abstract

The disadvantages of the fuzzy BP learning are its low speed of error convergence and the high possibility of trapping into local minima. In this paper, a fuzzy proportional factor is added to the fuzzy BP’s iteration scheme to enhance the convergence speed. The added factor makes the proposed method more dependant on the distance of actual outputs and desired ones. Thus in contrast with the conventional fuzzy BP, when the slop of error function is very close to zero, the algorithm does not necessarily return almost the same weights for the next iteration. According to the simulation’s results, the proposed method is superior to the fuzzy BP in terms of generated error.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information System, Skudai, Johor, 81310, Malaysia

    M. Hadi Mashinchi & Siti Mariyam H. J. Shamsuddin

Authors
  1. M. Hadi Mashinchi
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  2. Siti Mariyam H. J. Shamsuddin
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Editor information

Editors and Affiliations

  1. College of Business Administration, Quantitative and Information System Department, Kuwait University, P.O. Box 5486, 13055, Safat, Kuwait

    Aboul-Ella Hassanien

  2. Center of Excellence for Quantifiable, Quality of Service, Norwegian University of Science & Technology, O.S. Bragstads plass 2E, 7491, Trondheim, Norway

    Ajith Abraham

  3. Department of Computer and Telecommunications Engineering, University ofWestern Macedonia, Agios Dimitrios Park, 50 100, Kozani, Greece

    Athanasios V. Vasilakos

  4. Dept. Electrical and Computer Engineering, University of Alberta, T6J 2V4, Edmonton,Alberta, Canada

    Witold Pedrycz

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© 2009 Springer-Verlag Berlin Heidelberg

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Mashinchi, M.H., Shamsuddin, S.M.H.J. (2009). Three-Term Fuzzy Back-Propagation. In: Hassanien, AE., Abraham, A., Vasilakos, A.V., Pedrycz, W. (eds) Foundations of Computational, Intelligence Volume 1. Studies in Computational Intelligence, vol 201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01082-8_6

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  • DOI: https://doi.org/10.1007/978-3-642-01082-8_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01081-1

  • Online ISBN: 978-3-642-01082-8

  • eBook Packages: EngineeringEngineering (R0)

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