Prediction of complex organic compounds activity with artificial neural networks.
Abstract
The analysis of neural networks applicability for complex organic compounds activity prediction is provided. The regulation algorithm is offered to improve the prediction properties of the networks.
About the Authors
E. V. Burljaeva
M.V. Lomonosov Moscow State University of Fine Chemical Technologies, 86, Vernadskogo pr., Moscow 119571
Russian Federation
Russian Federation
P. A. Ushakov
M.V. Lomonosov Moscow State University of Fine Chemical Technologies, 86, Vernadskogo pr., Moscow 119571
Russian Federation
Russian Federation
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Review
For citations:
Burljaeva E.V., Ushakov P.A. Prediction of complex organic compounds activity with artificial neural networks. Fine Chemical Technologies. 2008;3(4):79-83. (In Russ.)
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