Use of genetic algorithm to design optimal neural network structure

Ozturk N.

ENGINEERING COMPUTATIONS, vol.20, pp.979-997, 2003 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 20
  • Publication Date: 2003
  • Doi Number: 10.1108/02644400310502982
  • Journal Name: ENGINEERING COMPUTATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.979-997
  • Keywords: mathematical modelling, programming and algorithm theory, neural nets, FEATURE RECOGNITION, MANUFACTURING FEATURES, OPTIMIZATION, SEARCH, CLASSIFICATION, SYSTEM, MODELS
  • Bursa Uludag University Affiliated: Yes

Abstract

In this research, neural network (NN) and genetic algorithm (GA) are used together to design optimal NN structure. The proposed approach combines the characteristics of GA and NN to reduce the computational complexity of artificial intelligence applications in design and manufacturing. Genetic input selection approach is introduced to obtain optimal NN topology. Experimental results are given to evaluate the performance of the proposed system.