采用规则与人工神经网络表示知识的专家系统

THE EXPERT SYSTEM REPRESENTING KNOWLEDGE WITH RULES AND ARTIFICIAL NEURAL NETWORKS

本文描述了采用规则与人工神经网络表示知识的专家系统,一种前向式神经网络模型及其学习算法,表明采用多种形式表示知识有利于提高系统的灵活性和有效性。

This paper describes an expert system representing knowledge with both rules and artificial neural networks, a model of three-layer feed-forward neural networks and its learning algorithm. It is indicated that representing knowledge with multiple forms is advantageous to system's flexibility and effectiveness.