Use of genetic algorithm to design optimal neural network structure

Ozturk N.

ENGINEERING COMPUTATIONS, cilt.20, ss.979-997, 2003 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 20
  • Basım Tarihi: 2003
  • Doi Numarası: 10.1108/02644400310502982
  • Dergi Adı: ENGINEERING COMPUTATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.979-997
  • Anahtar Kelimeler: mathematical modelling, programming and algorithm theory, neural nets, FEATURE RECOGNITION, MANUFACTURING FEATURES, OPTIMIZATION, SEARCH, CLASSIFICATION, SYSTEM, MODELS
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

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.