ФарФаР - Фармацеутски факултет, репозиторијум
Универзитет у Београду, Фармацеутски факултет
    • English
    • Српски
    • Српски (Serbia)
  • Српски (ћирилица) 
    • Енглески
    • Српски (ћирилица)
    • Српски (латиница)
  • Пријава
Преглед записа 
  •   ФарФаР
  • Pharmacy
  • Radovi istraživača / Researchers’ publications
  • Преглед записа
  •   ФарФаР
  • Pharmacy
  • Radovi istraživača / Researchers’ publications
  • Преглед записа
JavaScript is disabled for your browser. Some features of this site may not work without it.

Application of neural networks for response surface modeling in HPLC optimization

Само за регистроване кориснике
1998
Аутори
Agatonović-Kuštrin, Snežana
Zečević, Mira
Živanović, L
Tucker, I.G
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документу
Апстракт
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.
Извор:
Analytica Chimica Acta, 1998, 364, 1-3, 265-273
Издавач:
  • Elsevier Science BV, Amsterdam

DOI: 10.1016/S0003-2670(98)00121-4

ISSN: 0003-2670

WoS: 000074040300029

Scopus: 2-s2.0-0032565631
[ Google Scholar ]
71
59
URI
https://farfar.pharmacy.bg.ac.rs/handle/123456789/183
Колекције
  • Radovi istraživača / Researchers’ publications
Институција/група
Pharmacy
TY  - 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 . .

DSpace software copyright © 2002-2015  DuraSpace
О ФарФаР-у | Пошаљите запажања

OpenAIRERCUB
 

 

Комплетан репозиторијумГрупеАуториНасловиТемеОва институцијаАуториНасловиТеме

Статистика

Преглед статистика

DSpace software copyright © 2002-2015  DuraSpace
О ФарФаР-у | Пошаљите запажања

OpenAIRERCUB