摘要
进化算法(EAs)与神经网络(NN)的结合已形成了一个新的领域—进化神经网络,在神经网络的研究中举足轻重。本文通过讨论和总结进化神经网络中的关键技术和现状,概述了其设计与构造的趋势。所讨论的是:(1)进化神经网络的研究方法;(2)进化模型;(3)应用实例及关键技术;(4)研究方向。
The combinations between Evolutionary Algorithms (EAs) and Neural Net works (NN) have become a new field - Evolutionary Neural Networks and play one of the center roles for the research on Neural Networks. By discussing and summarizing the key technologies and current status, the trends of Evolutionary Neural Networks design and construction are outlined. The topics discussed include; (1)the research methods of Evolutionary Neural Networks; (2)the several evolutionary models of Evolutionary Neural Networks; (3)the application instances and the key techniques of Evolutionary Neural Networks; and (4)the direction of Evolutionary Neural Networks.
出处
《计算机科学》
CSCD
北大核心
2004年第3期125-129,共5页
Computer Science
基金
国家自然科学基金(60273033)
江苏省自然科学基金(BK2001202)