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一种新的多模式对模糊联想记忆自适应学习规则
引用本文:何奉道. 一种新的多模式对模糊联想记忆自适应学习规则[J]. 西南交通大学学报, 1993, 0(4): 13-17
作者姓名:何奉道
作者单位:西南交通大学神经网络与信息技术研究所
摘    要:本文给出了模糊联想记忆神经网络联想输出误差函数的一种梯度计算方法,成功地把误差逆传播梯度下降搜索技术应用于该网络的训练中,提出一种新的多模式对模糊联想记忆的学习规则,计算机模拟表明该规则是十分有效的。

关 键 词:人工神经网络 模糊联想记忆

A New Self-Adaptive Learning Rule for Multiple Pattern Pairs Fuzzy Associative Memory
He Fengdao Res. Inst. of Neural Network , Information Tech.. A New Self-Adaptive Learning Rule for Multiple Pattern Pairs Fuzzy Associative Memory[J]. Journal of Southwest Jiaotong University, 1993, 0(4): 13-17
Authors:He Fengdao Res. Inst. of Neural Network & Information Tech.
Affiliation:He Fengdao Res. Inst. of Neural Network & Information Tech.
Abstract:This paper suggests a gradient algorithm which can be used in exporting error function for fuzzy associative memory (FAM) neural network. In this neural network training, the author applied an error back-propagation gradient descending search technique successfully, and then proposed a new learning rule for multiple pattern pairs fuzzy associative memories in single FAM and its efficiency has been confirmed by computer imitations.
Keywords:artifical neural network  fuzzy associtive memory  multiple patternpairs  learning rule
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