UMĚLÉ NEURONOVÉ SÍTĚ V ANALYTICKÉ CHEMII

Warning

This publication doesn't include Faculty of Economics and Administration. It includes Faculty of Science. Official publication website can be found on muni.cz.

Title in English	ARTIFICIAL NEURAL NETWORKS IN ANALYTICAL CHEMISTRY
Authors	FARKOVÁ Marta HAVEL Josef
Year of publication	2002
Type	Article in Periodical
Magazine / Source	Chemické listy
MU Faculty or unit	Faculty of Science
Citation
Field	Analytic chemistry
Keywords	artificial neural networks; analytical chemistry
Description	In analytical chemistry is important the development and the validation of the new analytical methods and procedures. The key role is played by chemometrics, especially by the validation. One of the new techniques are artificial neural networks (ANN). ANN can be used for the prediction of the structures of the analytical reagents, for the determination of physicochemical constants, by the search for the optimal conditions of the analytical methods, for the development of the new analytical methods and procedures, by the quantification from the unresolved peaks, etc.
Related projects:	Artificial neural networks and experimental design in analytical chemistry, especially in separation methods