Abstract
We present self-organizing map or Kohonen network and counter propagation neural network as powerful tools in quantitative structure property/activity relationship modeling. Two areas of applications are discussed: estimation of toxic properties in environmental research and applications in drug research.
Keywords: som, kohonen neural network, counter propagation neural network, qsar
Current Computer-Aided Drug Design
Title: Kohonen Artificial Neural Network and Counter Propagation Neural Network in Molecular Structure-Toxicity Studies
Volume: 1 Issue: 1
Author(s): Marjan Vracko
Affiliation:
Keywords: som, kohonen neural network, counter propagation neural network, qsar
Abstract: We present self-organizing map or Kohonen network and counter propagation neural network as powerful tools in quantitative structure property/activity relationship modeling. Two areas of applications are discussed: estimation of toxic properties in environmental research and applications in drug research.
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Cite this article as:
Vracko Marjan, Kohonen Artificial Neural Network and Counter Propagation Neural Network in Molecular Structure-Toxicity Studies, Current Computer-Aided Drug Design 2005; 1 (1) . https://dx.doi.org/10.2174/1573409052952224
DOI https://dx.doi.org/10.2174/1573409052952224 |
Print ISSN 1573-4099 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6697 |
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