火力与指挥控制Issue(10)：117-120,125,5.
神经规则与案例融合的专家系统知识表示和推理
The Knowledge Representation and Reasoning of Expert System Used Neurule and Case Fusion
摘要
Abstract
To express the knowledge of expert system,and makes the reasoning become more accurate and efficient,this paper introduces an approach that integrates symbolic rules,neural networks and cases. The method is to mix a rule that neural rules and case together. The difference between this method and the traditional rules of reasoning based on symbol ,even if there are some unknown input, it can also perform reasoning based on neural rules. Experiments show that,compared with the traditional expert system,hybrid reasoning can improve the efficiency and accuracy of fault diagnosis.关键词
神经规则/案例检索/混合推理/故障诊断Key words
neurule/case indexing/hybrid reasoning/fault diagnosis分类
信息技术与安全科学引用本文复制引用
姚路,康剑山,曾斌..神经规则与案例融合的专家系统知识表示和推理[J].火力与指挥控制,2014,(10):117-120,125,5.基金项目
国家自然科学基金（71201172）；湖北省科技计划自然科学基金资助项目 （）
