| 多种诊断推理方法的设计与比较 |
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| 引用本文： | 魏圆圆,王儒敬,方静.多种诊断推理方法的设计与比较[J].计算机工程与应用,2005,41(2):57-58,119. |
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| 作者姓名： | 魏圆圆 王儒敬 方静 |
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| 作者单位： | 中国科学院合肥智能机械研究所,合肥,230031;中国科学院合肥智能机械研究所,合肥,230031;中国科学院合肥智能机械研究所,合肥,230031 |
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| 基金项目： | 国家863高技术研究发展计划项目(编号:2001AA115170)资助 |
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| 摘 要： | 简单介绍了诊断推理领域三种常用的方法:基于人工神经网络的方法、基于规则的方法和基于案例的推理方法,并以某农作物病害诊断为实例,详细介绍了三种方法的具体设计,并从诊断正确率和诊断时间上对三种方法的诊断性能进行了比较,比较结果为特定问题条件下选择适当的诊断推理方法提供了帮助。
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| 关 键 词： | 人工智能 诊断推理 BP网络 决策树 基于案例推理 |
| 文章编号： | 1002-8331-(2005)02-0057-02 |
The Designing and Comparing of Multi Diagnosis and Reasoning Methods |
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| WEI Yuanyuan,WANG Rujing,Fang Jing.The Designing and Comparing of Multi Diagnosis and Reasoning Methods[J].Computer Engineering and Applications,2005,41(2):57-58,119. |
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| Authors: | WEI Yuanyuan WANG Rujing Fang Jing |
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| Abstract: | This paper introduces three common methods in the field of diagnosis and reasoning:Artificial Neural Net-work,Rule-Based Reasoning and Case-Based Reasoning.We explicate the particular designing of these methods in a crop disease diagnosis and compare the diagnosis performance on diagnosis accuracy and diagnosis efficiency.The result will help the user select appropriate diagnosis and reasoning method on the given problem condition. |
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| Keywords: | artificial intelligence diagnosis reasoning Back-Propagation neuron network decision tree Case-Based Rea-soning |
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