Convergence of an online gradient method for BP neural networks with stochastic inputs
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论文类型：会议论文
发表时间：2005-08-27
收录刊物：EI
卷号：3610
期号：PART I
页面范围：720-729
摘要：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.