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Prediction of gas chromatographic retention indices by the use of radial basis function neural networks

✍ Scribed by Xiaojun Yao; Xiaoyun Zhang; Ruisheng Zhang; Mancang Liu; Zhide Hu; Botao Fan


Book ID
117222952
Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
137 KB
Volume
57
Category
Article
ISSN
0039-9140

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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