Umělé neuronové sítě (ANN) v chemii. Kvantitativní analýza z nerozlišených píků v kapilární elektroforéze s použitím vícerozměrné kalibrace kombinací plánování pokusů a ANN
| 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 |
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| Authors | |
| Year of publication | 2002 |
| Type | Article in Proceedings |
| Conference | Program přednášek 17. Chemometrického dne |
| MU Faculty or unit | |
| 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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