Application of artificial neural networks in HPLC method development
Само за регистроване кориснике
1998
Чланак у часопису (Објављена верзија)

Метаподаци
Приказ свих података о документуАпстракт
The use of artificial neural networks (ANNs) for response surface modelling in HPLC method development for amiloride and methychlothiazide separation is reported. The independent input variables were pH and methanol percentage in mobile phase. The outputs were capacity factors. The results were compared with a statistical method (multiple nonlinear regression analysis). Networks were able to predict the experimental responses more accurately than the regression analysis.
Извор:
Journal of Pharmaceutical and Biomedical Analysis, 1998, 17, 1, 69-76Издавач:
- Pergamon-Elsevier Science Ltd, Oxford
DOI: 10.1016/S0731-7085(97)00170-2
ISSN: 0731-7085
PubMed: 9608428
WoS: 000073387700009
Scopus: 2-s2.0-0032080860
Институција/група
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/123456789/187 AB - The use of artificial neural networks (ANNs) for response surface modelling in HPLC method development for amiloride and methychlothiazide separation is reported. The independent input variables were pH and methanol percentage in mobile phase. The outputs were capacity factors. The results were compared with a statistical method (multiple nonlinear regression analysis). Networks were able to predict the experimental responses more accurately than the regression analysis. PB - Pergamon-Elsevier Science Ltd, Oxford T2 - Journal of Pharmaceutical and Biomedical Analysis T1 - Application of artificial neural networks in HPLC method development VL - 17 IS - 1 SP - 69 EP - 76 DO - 10.1016/S0731-7085(97)00170-2 ER -
@article{ author = "Agatonović-Kuštrin, Snežana and Zečević, Mira and Živanović, L and Tucker, I.G", year = "1998", abstract = "The use of artificial neural networks (ANNs) for response surface modelling in HPLC method development for amiloride and methychlothiazide separation is reported. The independent input variables were pH and methanol percentage in mobile phase. The outputs were capacity factors. The results were compared with a statistical method (multiple nonlinear regression analysis). Networks were able to predict the experimental responses more accurately than the regression analysis.", publisher = "Pergamon-Elsevier Science Ltd, Oxford", journal = "Journal of Pharmaceutical and Biomedical Analysis", title = "Application of artificial neural networks in HPLC method development", volume = "17", number = "1", pages = "69-76", doi = "10.1016/S0731-7085(97)00170-2" }
Agatonović-Kuštrin, S., Zečević, M., Živanović, L.,& Tucker, I.G. (1998). Application of artificial neural networks in HPLC method development. in Journal of Pharmaceutical and Biomedical Analysis Pergamon-Elsevier Science Ltd, Oxford., 17(1), 69-76. https://doi.org/10.1016/S0731-7085(97)00170-2
Agatonović-Kuštrin S, Zečević M, Živanović L, Tucker I. Application of artificial neural networks in HPLC method development. in Journal of Pharmaceutical and Biomedical Analysis. 1998;17(1):69-76. doi:10.1016/S0731-7085(97)00170-2 .
Agatonović-Kuštrin, Snežana, Zečević, Mira, Živanović, L, Tucker, I.G, "Application of artificial neural networks in HPLC method development" in Journal of Pharmaceutical and Biomedical Analysis, 17, no. 1 (1998):69-76, https://doi.org/10.1016/S0731-7085(97)00170-2 . .