FARKOVÁ, Marta, Eladia María PEŇA-MÉNDEZ a Josef HAVEL. Use of artificial neural networks in capillary zone electrophoresis. J. Chromatogr. A. Amsterdam (The Netherlands): Elsevier Science, 1999, roč. 848, 1-2, s. 365-374. ISSN 0021-9606. |
Další formáty:
BibTeX
LaTeX
RIS
@article{217191, author = {Farková, Marta and PeňaandMéndez, Eladia María and Havel, Josef}, article_location = {Amsterdam (The Netherlands)}, article_number = {1-2}, language = {eng}, issn = {0021-9606}, journal = {J. Chromatogr. A.}, title = {Use of artificial neural networks in capillary zone electrophoresis}, volume = {848}, year = {1999} }
TY - JOUR ID - 217191 AU - Farková, Marta - Peňa-Méndez, Eladia María - Havel, Josef PY - 1999 TI - Use of artificial neural networks in capillary zone electrophoresis JF - J. Chromatogr. A. VL - 848 IS - 1-2 SP - 365 EP - 365 PB - Elsevier Science SN - 00219606 N2 - The use of Artificial Neural Networks (ANN) for non-linear modeling of symmetric and nonsymmetric peaks in Capillary Zone Electrophoresis (CZE) and in optimization of CZE methods was studied. It was shown that ANN can be used to estimate peak parameters and in combination with experimental design can be applied for efficient prediction of optimal separation conditions. The great advantage is that no use of the explicit model of the separation process and no knowledge of the physicochemical constants are needed. ER -
FARKOVÁ, Marta, Eladia María PEŇA-MÉNDEZ a Josef HAVEL. Use of artificial neural networks in capillary zone electrophoresis. \textit{J. Chromatogr. A.}. Amsterdam (The Netherlands): Elsevier Science, 1999, roč.~848, 1-2, s.~365-374. ISSN~0021-9606.
|