An approach to the interpretation of backpropagation neural network models in QSAR studies
Author:
Affiliation:
1. a Department of Chemistry , Moscow State University , Moscow, 119899, Russia
2. b Photochemistry Center , RAS , 7a Novatorov street, Moscow, 117421, Russia
3. c Institute of Organic Chemistry , 47 Leninsky prosp., Moscow, 117913, Russia
Publisher
Informa UK Limited
Subject
Drug Discovery,Molecular Medicine,General Medicine,Bioengineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10629360290002073
Reference10 articles.
1. Zupan , J. and Gasteiger , J. 1999. Neural Networks in Chemistry and Drug Design, 380New York: Wiley/VCH.
2. Devillers , J. 1996. Neural Networks in QSAR and Drug Design, 352New York: Academic Press.
3. Analysis of linear and nonlinear QSAR data using neural networks
4. Gorban , A. N. and Rossiev , D. A. 1996. Neural Networks on Personal Computer, 276Novosibirsk: Nauka.
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