Fuzzy neural networks stability in terms of the number of hidden layers

R. Lovassy, L. T. Kóczy, L. Gál, Imre J. Rudas

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

4 Citations (Scopus)

Abstract

This paper introduces an approach for studying the stability, and generalization capability of one and two hidden layer Fuzzy Flip-Flop based Neural Networks (FNNs) with various fuzzy operators. By employing fuzzy flip-flop neurons as sigmoid function generators, novel function approximators are established that also avoid overfitting in the case of test data containing noisy items in the form of outliers. It is shown, by comparing with existing standard tansig function based approaches that reducing the network complexity networks with comparable stability are obtained. Finally, examples are given to illustrate the effect of the hidden layer number of neural networks.

Original languageEnglish
Title of host publication12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings
Pages323-328
Number of pages6
DOIs
Publication statusPublished - Dec 1 2011
Event12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Budapest, Hungary
Duration: Nov 21 2011Nov 22 2011

Publication series

Name12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings

Other

Other12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011
CountryHungary
CityBudapest
Period11/21/1111/22/11

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Information Systems

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    Lovassy, R., Kóczy, L. T., Gál, L., & Rudas, I. J. (2011). Fuzzy neural networks stability in terms of the number of hidden layers. In 12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings (pp. 323-328). [6108523] (12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings). https://doi.org/10.1109/CINTI.2011.6108523