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基于一类T-模的模糊双向联想记忆网络的稳定性分析
引用本文:王春林,袁占国,杨廷鸿,汪益川.基于一类T-模的模糊双向联想记忆网络的稳定性分析[J].后勤工程学院学报,2010,26(5):92-96.
作者姓名:王春林  袁占国  杨廷鸿  汪益川
作者单位:1. 后勤工程学院基础部,重庆,401311
2. 后勤工程学院训练部,重庆,401311
3. 后勤工程学院科研部,重庆,401311
摘    要:首先定义了max-T复合模糊算子,建立了一类基于模糊复合算子的模糊联想记忆网络——模糊双向联想记忆,然后系统地分析了该网络的性质,在Hamming距离意义下证明了该网络的平衡点(吸引子)具有Lyapunov稳定性。

关 键 词:模糊神经网络  模糊双向联想记忆  Lyapunov稳定

Stability Analysis of a Class of Fuzzy Bidirectional Associative Memory Based on T-norms
WANG Chun-lin,YUAN Zhan-guo,YANG Ting-hong,WANG Yi-chuan.Stability Analysis of a Class of Fuzzy Bidirectional Associative Memory Based on T-norms[J].Journal of Logistical Engineering University,2010,26(5):92-96.
Authors:WANG Chun-lin  YUAN Zhan-guo  YANG Ting-hong  WANG Yi-chuan
Institution:1.Dept.of Foundation Studies,LEU,Chongqing 401311,China;2.Dept.of Training,LEU,Chongqing 401311,China;3.Dept.of Science & Research,LEU,Chongqing 401311,China)
Abstract:In this paper,a fuzzy operator of max-T is defined at first,and a fuzzy associative memory model-fuzzy bidirectional associative memory is developed,which is based on fuzzy operator of max-T.Then,the properties of this network are studied and its equilibrium point(attractor)is proved to be Lyapunov stable with Hamming distance.
Keywords:fuzzy neural networks  fuzzy bidirectional associative memory  Lyapunov stable
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