Application of Neural Network Method on the Quantitive Structure-Activity Relationship of Quinolones Compounds / 中国药房
China Pharmacy
; (12)2001.
Article
in Zh
| WPRIM
| ID: wpr-524528
Responsible library:
WPRO
ABSTRACT
OBJECTIVE:To study the quantitative structure-activity relationship of quinolones compounds by neural network(NN)method.METHODS:A3-layered BP neural network was constructed with the Matlab software package,the collected data were calculated,result of which was compared with that of the linear regression.RESULTS:Sum of square of errors for the neural network method was0.3042,which was less than that of linear regression;the predicted correlation co-efficient was0.86.CONCLUSION:The neural network method has achieved more precise fitting results than the linear re-gression in the study of the quantitative structure-activity relationship of quinolones compounds.
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Index:
WPRIM
Language:
Zh
Journal:
China Pharmacy
Year:
2001
Type:
Article