摘要
叙述了一个基于对象和规则的混合式专家系统构造工具,该系统使用框架、规则和人工神经网络等多种知识表示形式,采用模糊推理机制,运用正向、反向及正反向混合的推理形式,提供了非单调推理功能,形成了一个表达能力强、适用广泛的工具系统.本文着重时该系统的总体结构、模糊推理与人工神经网络的应用进行了论述.
This paper describes a hybrid expert system tool based on objects and rules. This system takes frames, rules, and artificial neural networks as knowledge representation forms, adopts fuzzy reasoning mechanism, uses forward, backward and hybrid inference forms, provides non-monotonic reasoning function, forms a tool system capable of being applied in widespread fields. This paper places emphases upon global architecture, fuzzy reasoning and the application of artificial neural networks.
出处
《北方交通大学学报》
CSCD
北大核心
1993年第2期165-172,共8页
Journal of Northern Jiaotong University
关键词
专家系统
神经网络
人工智能
FRS
expert system
fuzzy reasoning
neural network
artificial intelligence
