| MALOVANÁ, Sabina, Borges FRIAS GARCIA a Josef HAVEL. Artificial neural networks for modeling electrophoretic mobilities of inorganic cations and organic cationic oximes used as antidote contra nerve paralytic chemical weapons. ELECTROPHORESIS. WEINHEIM: WILEY-V C H VERLAG GMBH, 2002, roč. 23, č. 12, s. 1815-1821. ISSN 0173-0835. |
Další formáty:
BibTeX
LaTeX
RIS
@article{485226,
author = {Malovaná, Sabina and Frias Garcia, Borges and Havel, Josef},
article_location = {WEINHEIM},
article_number = {12},
keywords = {Artificial neural networks; cationic oximes; antidote contra nerve paralytic chemical weapons},
language = {eng},
issn = {0173-0835},
journal = {ELECTROPHORESIS},
title = {Artificial neural networks for modeling electrophoretic mobilities of inorganic cations and organic cationic oximes used as antidote contra nerve paralytic chemical weapons},
volume = {23},
year = {2002}
}
TY - JOUR
ID - 485226
AU - Malovaná, Sabina - Frias Garcia, Borges - Havel, Josef
PY - 2002
TI - Artificial neural networks for modeling electrophoretic mobilities of inorganic cations and organic cationic oximes used as antidote contra nerve paralytic chemical weapons
JF - ELECTROPHORESIS
VL - 23
IS - 12
SP - 1815-1821
EP - 1815-1821
PB - WILEY-V C H VERLAG GMBH
SN - 01730835
KW - Artificial neural networks
KW - cationic oximes
KW - antidote contra nerve paralytic chemical weapons
N2 - Electrophoretic mobility of various analytes can be modeled and thus also predicted using artificial neural networks (ANNs) evaluating experiments done according to a suitable experimental design. in contrast to response surfaces modeling which can be used to predict optimal separation conditions, ANNs combined with experimental design were shown to be efficient for modeling and prediction of optimal separation conditions, while no explicit model and any knowledge of the physicochemical constants is needed. Methodology has been developed and demonstrated on separation of inorganic cations and organic oximes while various additives (methanol, complexation agent), pH or buffer concentration were followed. In our approach proposed the number of experiments necessary to find optimal separation conditions can be reduced significantly.
ER -
MALOVANÁ, Sabina, Borges FRIAS GARCIA a Josef HAVEL. Artificial neural networks for modeling electrophoretic mobilities of inorganic cations and organic cationic oximes used as antidote contra nerve paralytic chemical weapons. \textit{ELECTROPHORESIS}. WEINHEIM: WILEY-V C H VERLAG GMBH, 2002, roč.~23, č.~12, s.~1815-1821. ISSN~0173-0835.
|
