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。
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.
出处
《西南交通大学学报》
EI
CSCD
北大核心
1993年第4期13-17,共5页
Journal of Southwest Jiaotong University
基金
国家自然科学基金
关键词
人工神经网络
模糊联想记忆
artifical neural network
fuzzy associtive memory
multiple patternpairs
learning rule
