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双向联想记忆的匹配滤波器建模、分析与性能改进
引用本文:徐秉铮,张百灵.双向联想记忆的匹配滤波器建模、分析与性能改进[J].系统工程与电子技术,1991(6).
作者姓名:徐秉铮  张百灵
作者单位:华南理工大学 (徐秉铮),华南理工大学(张百灵)
摘    要:本文利用匹配滤波器组将Kosko提出的双向联想记忆(BAM) 建模为非线性闭环反馈系统,研究了模型中样本模式的稳定性与吸引性,给出并证明了稳定性和吸引性的几个充分条件。为了加强模型的记忆与误差校正能力,我们用指数非线性递增函数来提高检索模式与近邻样本的相关性,进一步讨论了修正后模型的稳定性与吸引性,分析表明模型的性能得到了很大改善。

关 键 词:神经网  人工智能  相联存储器  记忆  匹配滤波器  模型

Analysis of Bidirectional Associative Memory Modeled by Matched-Filters and the Improvement of Its Performance
Xu Bingzheng and Zhang BailingSouth China University of Technology.Analysis of Bidirectional Associative Memory Modeled by Matched-Filters and the Improvement of Its Performance[J].System Engineering and Electronics,1991(6).
Authors:Xu Bingzheng and Zhang BailingSouth China University of Technology
Institution:Xu Bingzheng and Zhang BailingSouth China University of Technology
Abstract:Three problems are studied in the paper. The Bidirectional Associative Memory (BAM) is modeled by matched filters, so that a clearer idea of the information processing processes in the BAM model can be got. The stability and attractivity of exemplars in the BAM model are analysed in detail and several sufficient conditions for stability are given and proved. After be discussed the performance and limitation of the original BAM, a revised BAM model by taking an exponent function operating on the related correlations is presented. It is shown that the performances of the revised BAM model are significantly improved. Especially its memory capacity is nearly exponentially increased with min (N, P).
Keywords:Neural network  Associative memory  Matched filter    
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