Application of neural networks for response surface modeling in HPLC optimization
Analytica Chimica ActaPublished 1 May 1998
Snežana Agatonović-Kuštrin, Mira Zečević, Lj. Živanović, Ian G. Tucker
Citations66
SJR quartileQ1
SJR score1.00
SNIP1.12
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Abstract
The usefulness of artificial neural networks for response surface modeling in HPLC optimization is compared with multiple regression methods. The results show that neural networks offer promising possibilities in HPLC method development. The predicted capacity factors of analytes were better to those obtained with multiple regression method.
Keywords
ChemistryEnvironmental Science
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