[Chemical QSAR recognition by using fuzzy min-max neural-network].

Authors :: Li Y
Ye Z
Lu J
Source :: Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi [Sheng Wu Yi Xue Gong Cheng Xue Za Zhi] 2002 Sep; Vol. 19 (3), pp. 449-51.
Publication Year :: 2002
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. Further discussion on the models and the results is presented in this paper.

Subjects :: Algorithms
Models, Chemical
Cluster Analysis
Fuzzy Logic
Neural Networks, Computer
Quantitative Structure-Activity Relationship

Language :: Chinese
ISSN :: 1001-5515
Volume :: 19
Issue :: 3
Database :: MEDLINE
Journal :: Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Publication Type :: Academic Journal
Accession number :: 12557519

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