Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2005-08-27

Included Journals: EI

Volume: 3610

Issue: PART I

Page Number: 720-729

Abstract: An online gradient method for BP neural networks is presented and discussed. The input training examples are permuted stochastically in each cycle of iteration. A monotonicity and a weak convergence of deterministic nature for the method are proved. © Springer-Verlag Berlin Heidelberg 2005.