Chemical QSAR recognition by using fuzzy min-max neural-network / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 449-451, 2002.
Article
in Chinese
| WPRIM
| ID: wpr-357005
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Cluster Analysis
/
Neural Networks, Computer
/
Fuzzy Logic
/
Quantitative Structure-Activity Relationship
/
Models, Chemical
Type of study:
Prognostic study
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2002
Type:
Article
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