A CBR SYSTEM FOR FISH DISEASE DIAGNOSIS

机译：用于鱼病诊断的CBR系统

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Fish disease diagnosis is a complicated process and requires high level of expertise. However, there's no accepted general knowledge in fish disease diagnosis. This paper describes a CBR (case-based reasoning) system for fish disease diagnosis. A two-step case retrieve model is proposed in this paper.

机译：鱼病诊断是一个复杂的过程，需要高水平的专业知识。但是，在鱼病诊断方面尚无公认的常识。本文介绍了一种用于鱼病诊断的CBR（基于案例的推理）系统。提出了一种两步案例检索模型。

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来源
《IFIP(International Federation for Information Processing) TC 12 International Conference on Computer and Computing Technologies in Agriculture(CCTA 2007); 20070818-20; Wuyishan(CN)》|2007年|P.14531457|共2页
会议地点 Wuyishan(CN)
作者
Wei Zhu; Daoliang Li;
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作者单位

Key Laboratory of Modern Precision Agriculture System Integration Research, China Agricultural University, 17 Tsinghua East Road, Beijing, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类电子技术、计算机技术在农业上的应用;
关键词
case-based reasoning; fish disease diagnosis; nearest neighbor;

机译：基于案例的推理;鱼类疾病诊断;最近邻;

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机译：多重交叉同质多态;双组分体系CC14 + CBr2Cl2和CBrCl3 + CBr2Cl2; CBr2Cl2的亚稳态菱面体相的推论
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4. A CBR System for Fish Disease Diagnosis [C] . Wei Zhu, Daoliang Li IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture . 2008

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机译：一种用于鱼类疾病诊断的CBR系统

A CBR SYSTEM FOR FISH DISEASE DIAGNOSIS

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