节点文献
基于案例推理的森林病害诊断方法探讨
CBR-based Method for Forest Diseases Diagnosis
【摘要】 本文介绍了基于案例推理的森林病害诊断方法,从案例的表示与存储、检索和匹配、修改与维护等3个方面对基于案例推理的森林病害诊断过程进行了分析,表明基于案例推理的病害诊断方法具有实现方式灵活简便、自学习能力强等特点,在森林病害智能诊断方面有很好的前景。
【Abstract】 This paper introduced the forest diseases diagnosis method based CBR.the processing of CBR-based forest diseases diagnosis is mainly analyzed from three aspects: expression and storage,retrieving and matching,modification and maintenance of cases.It is shown that the CBR method is flexibly and simply implemented,with strong self-studying ability.It has a good prospect for forest diseases intelligent diagnosis.
【关键词】 基于案例的推理;
森林病害诊断;
人工智能;
【Key words】 Case-Based Reasoning; forest diseases diagnosis; artificial intelligence;
【Key words】 Case-Based Reasoning; forest diseases diagnosis; artificial intelligence;
【基金】 北京林业大学研究生培养基金;北京市教委基金JSYS10020402
- 【文献出处】 安徽农学通报 ,Anhui Agricultural Science Bulletin , 编辑部邮箱 ,2007年18期
- 【分类号】S763.1
- 【被引频次】5
- 【下载频次】154