title: [Chemical QSAR recognition by using fuzzy min-max neural-network].
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.
authors.affiliation: Clinical Engineering Institute, Zhejiang University, Hangzhou 3100031.
authors.forename: Yongwu
authors.initials: Y
authors.lastname: Li
authors.forename: Zhiqian
authors.initials: Z
authors.lastname: Ye
authors.forename: Jinfang
authors.initials: J
authors.lastname: Lu
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D017143:Fuzzy Logic; D008956:Models, Chemical; D016571:Neural Networks, Computer; D021281:Quantitative Structure-Activity Relationship