Artificial Neural Networks as Statistical Tools in SAR/QSAR Modeling
نویسنده
چکیده
There are two broadly-defined applications of artificial neural networks (ANNs) in SAR/QSAR modeling. The first is the use of networks as preprocessors to reduce the dimensionality of chemical descriptors for use in statistical or network models. The second is to create classification models for predictive toxicology. This report discusses the use of ANNs as classifiers in SAR/QSAR modeling and compares the approach to modeling using linear discriminant analysis (LDA) or logistic regression (LR).
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تاریخ انتشار 1999