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Convergence of an online gradient method for BP neural networks with stochastic inputs

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Indexed by:会议论文

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.

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