Hybrid learning algorithm for fuzzy neuro systems

Ching Hung Lee*, Yu Ching Lin

*Corresponding author for this work

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

10 Scopus citations

Abstract

In this paper, we propose a hybrid learning algorithm for fuzzy neural network (FNN) systems, which combining the back-propagation and the genetic algorithms. Without any pre-training, the algorithm achieves high accuracy performance. Here, we make a breakthrough of the restriction of membership function to be some specific shape (e.g., triangular form, trapezoid form and shape of bell). The membership functions of the FNN are constructed by a group of line segment and then are fine tuned by genetic algorithm (GA) for achieving the mapping accuracy. The proposed training algorithm can be described as: (a) Firstly, we construct and train the FNN using the back-propagation algorithm to obtain membership functions and consequent weight vector, (b) Membership functions with a group of line segment by partitioning and sampling themselves are constructed. Thus we can represent membership functions in a string formchromosome for genetic algorithm (GA). (c) Finally, for every partition point, we use the GA to search the optimal value and obtain the optimal membership functions. Simulation results show that the mapping capability of the FNN trained by the proposed method is much better. In addition, the application on the fuzzy rules reduction is presented to show the effectiveness of the approach.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Fuzzy Systems - Proceedings
Pages691-696
Number of pages6
DOIs
StatePublished - 2004
Event2004 IEEE International Conference on Fuzzy Systems - Proceedings - Budapest, Hungary
Duration: 25 Jul 200429 Jul 2004

Publication series

NameIEEE International Conference on Fuzzy Systems
Volume2
ISSN (Print)1098-7584

Conference

Conference2004 IEEE International Conference on Fuzzy Systems - Proceedings
CountryHungary
CityBudapest
Period25/07/0429/07/04

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  • Cite this

    Lee, C. H., & Lin, Y. C. (2004). Hybrid learning algorithm for fuzzy neuro systems. In 2004 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 691-696). (IEEE International Conference on Fuzzy Systems; Vol. 2). https://doi.org/10.1109/FUZZY.2004.1375482