摘要
提出了一种适合于混沌神经网络的混沌控制方法,延时反馈控制方法,其目的是将混沌神经网络的丰富动力学特性应用于联想记忆、信息检索、组合优化、模式识别、数据压缩等智能信息处理中.利用本文提出的控制方法,对混沌神经网络进行控制,被控网络能收敛于与初始状态相关的记忆模式和反相模式的二周期状态上,从而实现了记忆搜索、模式识别的功能.
An improved delay feedback control method （IDFC） for chaos control in chaotic neural networks was proposed in order to apply rich dynamic behaviors of chaotic neural networks to information processing such as associative memory, information search, combinational optimization, pattern recognition, and data compress, etc. The computer simulation proved that the controlled chaotic neural networks could be converged to period-2 state of the stored pattern and its reverse related to the initial state. The information search and pattern recognition etc. were therefore implemented in chaotic neural networks.
出处
《浙江大学学报（理学版）》
CAS
CSCD
北大核心
2006年第1期41-43,47,共4页
Journal of Zhejiang University（Science Edition）
基金
浙江省教育厅资助项目(20040159)
教育部留学回国人员启动基金(J20050319)
关键词
混沌控制
延时反馈控制
混沌神经网络
controlling chaos
delay feedback control
chaotic neural networks
