摘要
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.
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.
出处
《控制与决策》
EI
CSCD
北大核心
2006年第2期121-128,共8页
Control and Decision
基金
国家自然科学基金项目(60075008
60375001)
国家863计划项目(9845002)
关键词
混沌系统
混沌神经网络
混沌振荡予
优化问题
混沌智能信息处理
Chaotic system
Chaotic neural networks
Chaotic oscillator
Optimization problem
Chaotic intelligent information processing
