Prediction of gas chromatographic retent
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A. Bruchmann; P. Zinn; Chr.M. Haffer
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Article
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1993
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Elsevier Science
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English
β 930 KB
## AbStraet Neural networks using the backpropagation algorithm can be applied to quantitative structure-physical property relationship studies. Neural networks can be trained with electrotopological indexes of monofunctional compounds to predict the corresponding retention index data. These netwo