混沌神经网络模型及其应用研究综述

回顾了近年来混沌神经网络模型及其应用的研究进展．首先依据混沌产生的机理，将现有的多种类型混沌神经网络模型归结为4类典型的网络模型，并结合各种网络模型的数学描述来分析各自的机理和特性；然后从复杂问题优化、联想记忆和图像处理、网络与通信、模式识别、电力系统负荷建模和预测5个方面，介绍了混沌神经网络的应用现状；最后评述了混沌神经网络今后的研究方向和研究内容．

Progress of Chaotic Neural Networks and Their Applications

The research progress and applications of chaotic neural networks(CNN) models in recent years are reviewed.At first,CNN models are classified into four typical types in according with the mechanism of chaos,and these four types of CNN are analyzed with mathematic expression respectively.Secondly,recent applications of CNN are introduced in many aspects,such as complicated optimization problem,associative memory and image processing,computer networks and communication,pattern recognition,power system load modeling and forecasting etc.Finally,some remarks on the further research and directions of CNN are presented.