摘要
混沌状态下神经网络行为的研究是神经网络理论中的一个新内容，由于它可能揭示脑活动的深层机制而广受重视，但对混沌网络信息处理能力进行大量和深入研究却遇到许多障碍，其问题之一是难以为网络系统选择适当的非线性参数。本文提出一种建立混沌神经网络模型的简单耦合方法，解决了选择参数的困难。计算机模拟结果表明，用该模型研究混沌状态下网络动态行为是有效的。
Chaotic dynamic research of neural networks is a new developing direction in neural network theory.It is widely accepted that chaotic dynamics can give a mathematic explanation of mechanism of brain pattern recognition such as olfactory system.A number of new concept on the mechanism have been put forward,but at the same time,many problems have appeared during the chaotic dynamic research.One of the problems is the selection of nonlinear parameter for chaotic neural networks.In this paper,a simple coupling methord of chaotic neural network modelling was advanced to solve the problem of nonlinear parameter selection.The computer simulation showed that the method is valid.and that the constructed chaotic neural network could realize the associative memory.
出处
《通信学报》
EI
CSCD
北大核心
1995年第2期13-19,共7页
Journal on Communications
基金
攀登计划资助
国家自然科学基金
第一军医大学校长基金
关键词
神经网络
混沌
动态特性
联想记忆
neural networks
chaos
dynamic characteristics
associative memory
