| 基于贝叶斯网络的不确定性知识的推理方法 |
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| 引用本文： | 胡玉胜,涂序彦,崔晓瑜,程乾生.基于贝叶斯网络的不确定性知识的推理方法[J].计算机集成制造系统,2001,7(12):65-68. |
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| 作者姓名： | 胡玉胜 涂序彦 崔晓瑜 程乾生 |
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| 作者单位： | 1. 北京科技大学信息工程学院自动化系,北京,100083
2. 北京大学数学科学学院信息科学系,北京,100871 |
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| 基金项目： | 国家 8 63 /CIMS主题资助项目 (863 -5 11-944 -0 19) |
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| 摘 要： | 贝叶斯网络是不确定性知识表达与推理的一种新方法。它是概率论和图论相结合的产物，可用于复杂多因果关系的分析，是人工智能领域的研究热点和重要成果之一。由于它的解决方案明确、直观，所以近年来在远程医疗、故障诊断以及数据挖掘等领域，得到了广泛的应用。本文论述了贝叶斯网络的基本理论、方法和应用，并指出当前所存在的主要问题。
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| 关 键 词： | 贝叶斯网络 不确定性 人工智能 知识推理 图论 概率论 |
| 文章编号： | 1006-5911(2001)12-0065-04 |
| 修稿时间： | 2001年1月15日 |
A Inferential Method of Uncertain Knowledge Based on Bayes-Network |
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| HU Yu-sheng ,TU Xu-yan ,CUI Xiao-yu ,CHENG Qian-sheng.A Inferential Method of Uncertain Knowledge Based on Bayes-Network[J].Computer Integrated Manufacturing Systems,2001,7(12):65-68. |
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| Authors: | HU Yu-sheng TU Xu-yan CUI Xiao-yu CHENG Qian-sheng |
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| Affiliation: | HU Yu-sheng 1,TU Xu-yan 1,CUI Xiao-yu 2,CHENG Qian-sheng 2 |
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| Abstract: | Bayes Network is a new inference and express method of uncertain knowledge.It is the combination of probability and graph theory, and can be used in analyzing complicated multi-causality questions. It is one of studying hotspots and important fruits in artificial intelligence. Because of its explicit and intuitionist, it has been widely used in many fields, such as internal medicine, diagnosing, and data mining. This paper addressed Bayes network's basic theory, methods and applications, finally pointed out its major problems at present. |
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| Keywords: | bayes network artificial intelligence conditional independence causality causal inference diagnostic inference |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
