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Application of artificial neural networks for predicting the aqueous acidity of various phenols using QSAR

✍ Scribed by Aziz Habibi-Yangjeh; Mohammad Danandeh-Jenagharad; Mahdi Nooshyar


Publisher
Springer-Verlag
Year
2005
Tongue
English
Weight
166 KB
Volume
12
Category
Article
ISSN
1610-2940

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Application of artificial neural network
✍ Ruisheng Zhang; Aixia Yan; Mancang Liu; Han Liu; Zhide Hu πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 164 KB

## Ε½ . Ε½ . Artificial neural networks ANN with extended delta-bar-delta EDBD learning algorithms were used to predict the retention indices of alkylbenzenes. The data used in this paper include 96 retention indices of 32 alkylbenzenes on three different stationary phases. Four parameters: temperat