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Dynamical Programming Algorithm for Multilayer feedforward Neural Networks
作者姓名:Ye Zhongquan  ZhangBangli  Cao Changxiu
作者单位:Ye Zhongquan; ZhangBangli ;Cao Changxiu
摘    要:This paper trains the multilayer neural networks using dynamical programming.The weithts are adjusted layer by layer. The optimal weishts of each layer are calculated using OBPalgorithm proposed in the related reference. The globally optimal weights of each layer can be obtained by finite iterations.

关 键 词:s:  dynamic  optimization  generalized  inverse  /  OBP  algorithm  multilayer  feedforward  networks  (DEDS  )  

Dynamical Programming Algorithm for Multilayer feedforward Neural Networks
Ye Zhongquan,ZhangBangli,Cao Changxiu.Dynamical Programming Algorithm for Multilayer feedforward Neural Networks[J].Storage & Process,1996(6):39-43.
Authors:Ye Zhongquan  ZhangBangli  Cao Changxiu
Institution:Ye Zhongquan; ZhangBangli ;Cao Changxiu
Abstract:This paper trains the multilayer neural networks using dynamical programming.The weithts are adjusted layer by layer. The optimal weishts of each layer are calculated using OBPalgorithm proposed in the related reference. The globally optimal weights of each layer can be obtained by finite iterations.
Keywords:s: dynamic optimization  generalized inverse / OBP algorithm  multilayer feedforward networks (DEDS )  
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