UMĚLÉ NEURONOVÉ SÍTĚ V ANALYTICKÉ CHEMII

• 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
• 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