A genetic algorithm based fuzzy-tuned neural network

S. H. Ling, H. K. Lam, Hung Fat Frank Leung, Y. S. Lee

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)

Abstract

This paper presents a fuzzy-tuned neural network, which is trained by the genetic algorithm (GA). The fuzzy-tuned neural network consists of a neural-fuzzy network and a modified neural network. In the modified neural network, a novel neuron model with two activation functions is employed. The parameters of the proposed network are tuned by GA with arithmetic crossover and non-uniform mutation. Some application examples are given to illustrate the merits of the proposed network.
Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
Pages220-225
Number of pages6
Publication statusPublished - 14 Jul 2003
EventThe IEEE International conference on Fuzzy Systems - St. Louis, MO, United States
Duration: 25 May 200328 May 2003

Conference

ConferenceThe IEEE International conference on Fuzzy Systems
CountryUnited States
CitySt. Louis, MO
Period25/05/0328/05/03

Keywords

  • Genetic Algorithm
  • Neural Fuzzy Network
  • Neural Network

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Software
  • Artificial Intelligence
  • Applied Mathematics

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