文献类型：期刊文献

中文题名：青光眼医疗智能诊断系统的设计与实施

英文题名：DESIGN AND IMPLEMENTATION OF INTELLIGENT GLAUCOMA DIAGNOSIS SYSTEM

作者：陈漫红[1];赵瑛[1];朱喜福[1]

第一作者：陈漫红

机构：[1]北京联合大学师范学院计算机科学与技术系

第一机构：北京联合大学师范学院

年份：2009

卷号：26

期号：7

起止页码：72-75

中文期刊名：计算机应用与软件

外文期刊名：Computer Applications and Software

收录：CSTPCD;;CSCD:【CSCD_E2011_2012】；

基金：北京自然科学基金项目(81001)

语种：中文

中文关键词：领域知识库;推理机;深度优先遍历;正向启发式推理

外文关键词：Domain knowledge base ;Inference engine ;Depth first semantic ergodicity; Direct heuristic inference

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.