A neural network approach for endochronic theory

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

TEKNIK DERGI, vol.18, no.4, pp.4247-4256, 2007 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 18 Issue: 4
  • Publication Date: 2007
  • Journal Name: TEKNIK DERGI
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.4247-4256
  • Istanbul Technical University Affiliated: Yes

Abstract

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.