摘要
专家神经网络是由专家系统产生出的事件驱动无环路神经对象网络。这些神经对象处理信息的非线性复合函数比正常的神经网络结点处理器更复杂。本文研究了无环路网络的ＢＰ学习算法，这一算法将传统ＢＰ算法与专家神经网络特征结合起来，提供了一种获取知识的方法。
Expert Neural Networks (ENN) is an
event driving
uncycle object networks, which is generated from the expert system. The unlinear composite
function of processing information which is used by these neural objects is more complex than
tranditional neural networks nodes processer. This paper discussed the BP algorithm to
uncycle
network, that BP algorithm combined BP algorithm with characteristic of expert network. This
algorithm put forward a method for acquiring knowledge.
出处
《微机发展》
1999年第4期3-7,共5页
Microcomputer Development
基金
"九五"重点攻关项目资助
关键词
专家系统
神经网络
BP算法
Expert System
Neural
Network
BP Algorithm
