混沌神经网络研究进展与展望

概述了混沌动力学的特性，回顾了近年来混沌神经元主混沌神经网络的研究进展，在此基础上，介绍了两种混沌神经网络模型，分析了其构成和特点，已有研究结果表明，混沌神经网络在联想记忆和组合优化等方面有现有网络更好的性能，最后，指出了混沌神经网络的应用与研究方向。

THE RESEARCH PROGRESS AND PROSPECTS OF CHAOTIC NEURAL NETWORKS

This article summarizes the characteristics of chaotic dynamics, reviews the research progresses of chaotic neuron model and chaotic neural networks in recent years. On the basis of them, two kinds of chaotic neural networks are introduced, and their structures and characters are analyzed. The research results show that the chaotic neural networks are more effective than other existing neural networks to solve associative memory and combination optimization problems. Finally, this article presents the fields where chaotic neural networks can be applied and should be further investigated.