کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10374139 | 878627 | 2005 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using an Ensemble of Neural Based QSARs for the Prediction of Toxicological Properties of Chemical Contaminants
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
بهداشت و امنیت شیمی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Using an Ensemble of Neural Based QSARs for the Prediction of Toxicological Properties of Chemical Contaminants Using an Ensemble of Neural Based QSARs for the Prediction of Toxicological Properties of Chemical Contaminants](/preview/png/10374139.png)
چکیده انگلیسی
An ensemble of neural predictors is used to develop a set of QSAR models for the prediction of the carcinogenicity TD50 index. The proposed approach makes use of the self organizing feature map algorithm to select diverse subsets of molecular descriptors that are used afterwards to train an ensemble of predictive fuzzy ARTMAP networks. The diversity introduced by the predictors trained using different subsets of descriptors produces better generalization results than single models. Comparison of the developed models with published models is to be used to assess the quality of the prediction system.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Process Safety and Environmental Protection - Volume 83, Issue 4, July 2005, Pages 387-392
Journal: Process Safety and Environmental Protection - Volume 83, Issue 4, July 2005, Pages 387-392
نویسندگان
R. Rallo, G. Espinosa, F. Giralt,