Chemical QSAR recognition by using fuzzy min-max neural-network.
- Author:
Yongwu LI
1
;
Zhiqian YE
;
Jinfang LU
Author Information
1. Clinical Engineering Institute, Zhejiang University, Hangzhou 3100031.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Cluster Analysis;
Fuzzy Logic;
Models, Chemical;
Neural Networks (Computer);
Quantitative Structure-Activity Relationship
- From:
Journal of Biomedical Engineering
2002;19(3):449-451
- CountryChina
- Language:Chinese
-
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.
