Constructing fuzzy membership functions and applications in fuzzy neural networks

Chi Hsu Wang, Tsu Tian Lee, Wei Yen Wang, Pao Shun Tseng

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

Abstract

A unified form of fuzzy membership functions, called as B-spline membership functions (BMF's) is proposed. The computer simulation of fuzzy control of a model car is considered as an application of BMF's in fuzzy neural networks. The example shows that the number of iterations for learning is substantially less than that of conventional methods.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks
PublisherPubl by IEEE
Pages778-781
Number of pages4
ISBN (Print)0780314212, 9780780314214
Publication statusPublished - 1993 Dec 1
EventProceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3) - Nagoya, Jpn
Duration: 1993 Oct 251993 Oct 29

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume1

Other

OtherProceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3)
CityNagoya, Jpn
Period93/10/2593/10/29

    Fingerprint

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Cite this

Wang, C. H., Lee, T. T., Wang, W. Y., & Tseng, P. S. (1993). Constructing fuzzy membership functions and applications in fuzzy neural networks. In Proceedings of the International Joint Conference on Neural Networks (pp. 778-781). (Proceedings of the International Joint Conference on Neural Networks; Vol. 1). Publ by IEEE.