A neural network approach for endochronic theory

Guerbuezel M. E., Incecik M., Ural D.

TEKNIK DERGI, cilt.18, sa.4, ss.4247-4256, 2007 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 18 Sayı: 4
  • Basım Tarihi: 2007
  • Dergi Adı: TEKNIK DERGI
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.4247-4256
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

The endochronic model is based on the modeling of material structure according to inner time. The criticized side of the model is that model parameters cannot be adopted to other materials. Material parameters are found by iteration, experience or trial and error. The model by Ansal (1977) is taken and combined with the neural networks, in order to investigate the applicability of this prediction tool.