【摘要】：本文着重介绍我们在SUN SPARC作站上用C语言开发的 神经网络知识库 ( NNKB )系统支撑环境中 NNKB 的推理、维护与求精模型,并简单探讨了它们与传统符号知识库维护与求精技术的异同点。
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如果在专家系统知识库中搜索不到完全匹配的故障，则调用神经网络知识库进行推理，得出诊断结果。
The result also obtains from calling neural network knowledge base when it can not search the right match fault cause in the expert system knowledge base.
设计了一个简单的人工智能故障诊断系统模型，它包括知识库、模糊推理、神经网络和控制模块等。
A simple artificial intelligence system for fault diagnosis established in this paper. The system consists of knowledge base, fuzzy reasoning module, neural network module and control module.
介绍了产生式知识库的基本结构，R BF网络的构成原理及采用RBF神经网络构建知识库的过程。
The basic structure of evolving knowledge library, the structural principle of RBF network and the procedures of building knowledge library with RBF neural network are presented.
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