基于知识发现的广义诊断型专家系统构造方法  

A NEW STRUCTURE OF GDESKD-GENERALIZED DIAGNOSIS TYPE EXPERT SYSTEM BASED ON KNOWLEDGE DISCOVERY

作　　者：杨炳儒[1] 孙海洪[1] 唐菁[1] 

机构地区：[1]北京科技大学信息工程学院,北京100083

出　　处：《模式识别与人工智能》1999年第4期373-380,共8页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金

摘　　要：本文在基于数据库与知识库协同机制的综合型知识发现系统KD(D&K)的基础上,首次提出基于知识发现系统的广义诊断型专家系统GDESKD(Generalized Diagnosis Type Expert System Based on Knowledge Discovery)构造方法。本文提出了GDESKD的总体结构框架,描述了其中的一些子系统;着重讨论了基于双库协同机制的动态知识库和其中的各知识库的形成过程;初步演示试验的结果表明GDESKD构造是有效与可行的。GDESKD是一种具有全新特征的专家系统,可能形成新的研究方向,它为解决知识库中知识的丰富性提供了极大的可能。A new structure of GDESKD (generalized diagnosis type expert system based on knowledge discovery) system KD (D&K)) is first presented on the basis of KD (D&K)-synthesized knowledge discovery system based on double-bases (database and knowledge base) cooperating mechanism. This paper mainly advances the general structural frame of GDESKD, describes some subsystems among GDESKD, emphasizes on dynamic knowledge base based on double-base cooperating mechanism and its forming process of knowledge base. According to the result of initiatory demonstrative experimert, the structure of GDESKD is effective and feasible. With all new features, GDESKD may form a new research direction and provide a great probability for solving the wealth of knowledge in the knowledge base.

关 键 词：知识发现 专家系统 GDESKD 知识库 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]