| 化合物构效关系的模糊极小极大神经网络识别研究 |
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| 引用本文： | 李永武,叶志前,陆金芳. 化合物构效关系的模糊极小极大神经网络识别研究[J]. 生物医学工程学杂志, 2002, 19(3): 449-451 |
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| 作者姓名： | 李永武 叶志前 陆金芳 |
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| 作者单位： | 浙江大学,临床工程研究所,杭州,3100031 |
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| 摘 要： | 应用模糊极小极大神经网络研究了化合物复杂结构和性能（QSAR）之间的关系，用该法进行几组化合物致癌的识别，结果优于线性回归的方法，对此作出一些分析。
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| 关 键 词： | 构效关系 模糊聚类 模糊极小极大神经网络 致癌识别 |
Chemical QSAR Recognition by Using Fuzzy Min-Max Neural-Network |
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| Li Yongwu Ye Zhiqian Lu Jinfang. Chemical QSAR Recognition by Using Fuzzy Min-Max Neural-Network[J]. Journal of biomedical engineering, 2002, 19(3): 449-451 |
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| Authors: | Li Yongwu Ye Zhiqian Lu Jinfang |
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| Affiliation: | Clinical Engineering Institute, Zhejiang University, Hangzhou 3100031. |
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| Abstract: | By using the fuzzy min-max neural network, the quantitative structure-activity relationship(QSAR) of mutagenicity is studied. With the established QSAR model ,the mutagenicity is predicted and the results showed that QASR is superior to linear-regression model,Futher discussion on the models and the results is presented in this paper. |
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| Keywords: | Quantitative structure activity relationship(QSAR) Fuzzy-clustering Fuzzy min-max neural network Mutagenicity recognition |
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