| 置信度网络在判别分析中的应用 |
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| 引用本文： | 应海,刘际明.置信度网络在判别分析中的应用[J].计算机与应用化学,1997,14(1):60-64,74. |
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| 作者姓名： | 应海 刘际明 |
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| 作者单位： | 厦门大学化学系!国家教委材料和生命过程分析科学开放研究实验室，厦门，361005，厦门大学化学系!国家教委材料和生命过程分析科学开放研究实验室，厦门，361005，厦门大学化学系!国家教委材料和生命过程分析科学开放研究实验室，厦门，361005，厦门大学化学系!国家教委材料和生命 |
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| 摘 要： | 本文叙述了置信信度网络与偏最小二乘法联用方法的建立，利用置信度网络处理信息的不完整性，利用偏最小二乘法建立预报模型，并预报结果。
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| 关 键 词： | 置信度网络 偏最小二乘法 癌症 判别分析 诊断 |
APPLICATION OF BELIEF NETWORK IN PATTERN RECOGNITION CLASSIFIER |
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| Ying Hai, Yang Pengyuan, Wang Xiaoru, Zhu Eryi, Huang Benli.APPLICATION OF BELIEF NETWORK IN PATTERN RECOGNITION CLASSIFIER[J].Computers and Applied Chemistry,1997,14(1):60-64,74. |
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| Authors: | Ying Hai Yang Pengyuan Wang Xiaoru Zhu Eryi Huang Benli |
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| Abstract: | The application of mathematically sound probabilistic reasoning and pattern recognition techniques in cancer diagnostic based on the concentration of elements in human hair is presented in this paper. Belief networks, which have raised enormous interest in the AI research community, are used to deal with the uncertainty in measurement of the elements concentration. Partial least square(PLS) method is used as a dassifier of cancer and normal samles. The results from the validation shown that the proposed inference scheme is effective in predicting unobserved symptoms. In the PLS analysis, the best classified result can be obtained when ouly 78% symptoms are observed based on the networks inference while the same result may be gained with 100% symptoms observed without the inference. |
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| Keywords: | Belief network PLS Cancer diagnostic |
| 本文献已被 CNKI 维普 等数据库收录！ |
