APPLICATION OF NEURAL NETWORKS FOR RESPONSE-SURFACE MODELING IN HPLC OPTIMIZATION

Authors
AGATONOVICKUSTRIN S ZECEVIC M ZIVANOVIC L TUCKER IG
Citation
S. Agatonovickustrin et al., APPLICATION OF NEURAL NETWORKS FOR RESPONSE-SURFACE MODELING IN HPLC OPTIMIZATION, Analytica chimica acta, 364(1-3), 1998, pp. 265-273
Citations number
9
Categorie Soggetti
Chemistry Analytical
Journal title
Analytica chimica acta → ACNP
ISSN journal
00032670
Volume
364
Issue
1-3
Year of publication
1998
Pages
265 - 273
Database
ISI
SICI code
0003-2670(1998)364:1-3<265:AONNFR>2.0.ZU;2-2
Abstract
The usefulness of artificial neural networks for response surface mode ling 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. (C) 19 98 Elsevier Science B.V.