Umělé neuronové sítě (ANN) v chemii. Kvantitativní analýza z nerozlišených píků v kapilární elektroforéze s použitím vícerozměrné kalibrace kombinací plánování pokusů a ANN

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Title in English Artificial neural networks (ANN) in chemistry. Quantitative analysis from unresolved peaks in capillary electrophoresis using multivariate calibration with the combination of experimental design and ANN
Authors

FARKOVÁ Marta HAVEL Josef

Year of publication 2002
Type Article in Proceedings
Conference Program přednášek 17. Chemometrického dne
MU Faculty or unit

Faculty of Science

Citation
Field Analytic chemistry
Keywords artificial neural networks; capillary electrophoresis; unresolved peaks
Description The applications of ANN in chemistry are very various. They are used for example in these areas: optimization of separations, interpretation of spectra, multicomponent analysis, kinetics, QSAR methods, control of chemical production. Quantitativ analysis in capillary electrophoresis requires resolved peaks of investigated analytes. Sometimes the electrophoretic separation is not complete and then the applicable aproach is the using of the combination of the experimental design and ANN.
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