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Prediction of gas chromatographic retention data for hydrocarbons from naphthas

✍ Scribed by Woloszyn, Thomas F.; Jurs, Peter C.

Book ID
127002211
Publisher
American Chemical Society
Year
1993
Tongue
English
Weight
762 KB
Volume
65
Category
Article
ISSN
0003-2700

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## 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