一种基于神经网络的专家系统设计

提出了一种基于神经网络的专家系统设计方案,其核心是作为知识库的人工神经网络(ANN)和基于ANN的正向推理机制。研究了一种表达知识的二元产生式规则及其编码方法,通过编码知识被存储在ANN中。基于ANN的知识库,设计了一种具有正向推理的推理机,并且以动物识别为背景,设计了一个原型系统。

Design of Expert System Based on Artificial Neural Networks

The authors proposed a model for an expert system based on artificial neural networks. The neural networks are used as the knowledge base for the expert system. In the model, the production rules are standardized into binary rules, each rule containing only two antecedents and one conclusion. In order to store the rules in the neural networks, the binary rules are coded by a method presented in the model. A modified back propagation (BP) algorithm is used to train the neural network. They also designed a new inference mechanism based on the neural networks for the proposed model, and built a prototype system using the model for animal recognition. The results indicate the validity and rationality of the model.