Application of neural networks for response surface modeling in HPLC optimization
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.
Source:
Analytica Chimica Acta, 1998, 364, 1-3, 265-273Publisher:
- Elsevier Science BV, Amsterdam
DOI: 10.1016/S0003-2670(98)00121-4
ISSN: 0003-2670
WoS: 000074040300029
Scopus: 2-s2.0-0032565631
Collections
Institution/Community
PharmacyTY - JOUR AU - Agatonović-Kuštrin, Snežana AU - Zečević, Mira AU - Živanović, L AU - Tucker, I.G PY - 1998 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/183 AB - 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. PB - Elsevier Science BV, Amsterdam T2 - Analytica Chimica Acta T1 - Application of neural networks for response surface modeling in HPLC optimization VL - 364 IS - 1-3 SP - 265 EP - 273 DO - 10.1016/S0003-2670(98)00121-4 ER -
@article{ author = "Agatonović-Kuštrin, Snežana and Zečević, Mira and Živanović, L and Tucker, I.G", year = "1998", 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.", publisher = "Elsevier Science BV, Amsterdam", journal = "Analytica Chimica Acta", title = "Application of neural networks for response surface modeling in HPLC optimization", volume = "364", number = "1-3", pages = "265-273", doi = "10.1016/S0003-2670(98)00121-4" }
Agatonović-Kuštrin, S., Zečević, M., Živanović, L.,& Tucker, I.G. (1998). Application of neural networks for response surface modeling in HPLC optimization. in Analytica Chimica Acta Elsevier Science BV, Amsterdam., 364(1-3), 265-273. https://doi.org/10.1016/S0003-2670(98)00121-4
Agatonović-Kuštrin S, Zečević M, Živanović L, Tucker I. Application of neural networks for response surface modeling in HPLC optimization. in Analytica Chimica Acta. 1998;364(1-3):265-273. doi:10.1016/S0003-2670(98)00121-4 .
Agatonović-Kuštrin, Snežana, Zečević, Mira, Živanović, L, Tucker, I.G, "Application of neural networks for response surface modeling in HPLC optimization" in Analytica Chimica Acta, 364, no. 1-3 (1998):265-273, https://doi.org/10.1016/S0003-2670(98)00121-4 . .