A Learning Algorithm of Synergetic Neural Network Based on Pseudo  Inverse

Yin Hujun; Qi Feihu; Ye Xiangyun

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A Learning Algorithm of Synergetic Neural Network Based on Pseudo Inverse

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- A Learning Algorithm of Synergetic Neural Network Based on Pseudo Inverse
- Acta Electronica Sinica Issue 5, (1999)
- 作者机构：
  
  上海交通大学计算机科学与工程系
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：1999
- 稿件说明：
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[1]尹虎君,戚飞虎,叶芗芸.基于伪逆的协同神经网络学习算法[J].电子学报,1999(05):16-18.

Yin Hujun, Qi Feihu, Ye Xiangyun. A Learning Algorithm of Synergetic Neural Network Based on Pseudo Inverse[J]. Acta Electronica Sinica, 1999, (5).
[1]尹虎君,戚飞虎,叶芗芸.基于伪逆的协同神经网络学习算法[J].电子学报,1999(05):16-18. DOI：

Yin Hujun, Qi Feihu, Ye Xiangyun. A Learning Algorithm of Synergetic Neural Network Based on Pseudo Inverse[J]. Acta Electronica Sinica, 1999, (5). DOI：

摘要

本文改进了Ｈａｋｅｎ协同神经网络的算法．该学习算法在Ｈａｋｅｎ算法的基础上引进反馈机制，对权值矩阵反复训练，使权值矩阵能更有效地进行图像识别，并增大了网络容量．

Abstract

This paper presents a learning algorithm of Haken neural network by adding feedback mechanism to Haken’s learning algorithm.This algorithm trains the weight matrix repeatedly.It enables the neural network to recognize image more effectively

and enlarges the capacity of the network.

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Hu Dongliang

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Department of Computer Seience and Engineering,Shanghai Jiao Tong University

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