摘要
论述产生式知识表示、语义树知识表示在基于三大类青光眼诊断专家系统中的应用,并将关系数据库技术引入专家系统,对检查问诊数据进行存储。针对青光眼诊断过程层次性和复杂性的特点,综合采用深度优先语义遍历,正向启发式推理策略,实现了行之有效的推理机制,获得了较好的推理效果。
This paper discusses the applications of production knowledge representation and semantic tree knowledge representation in expert system of diagnosis based on three types of glaucoma. Furthermore, relational database has been introduced to the expert system for storing examination and interrogation data. To solve the problem that the diagnosis process of the glaucoma has its characters of complex and multi-layers,the paper presents a strategy which adopts the depth first semantic ergodicity and direct heuristic inference,it has realised effective reasoning mechanism and has achieved fairly good reasoning effect.
出处
《计算机应用与软件》
CSCD
2009年第7期72-75,170,共5页
Computer Applications and Software
基金
北京自然科学基金项目(81001)
关键词
领域知识库
推理机
深度优先遍历
正向启发式推理
Domain knowledge base
Inference engine
Depth first semantic ergodicity
Direct heuristic inference
