CUKROWSKA, Ewa, Libuše TRNKOVÁ, René KIZEK a Josef HAVEL. Artificial Neural Networks for Quantitative Analysis of Ade-Cyt Mixtures by UV-Vis Spectrophotometry. In Chemometrics V. I. Brno, Czech Republic: Masaryk University, Brno, 1999, s. 6. Brno Section of the Chemical Society. |
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@inproceedings{209631, author = {Cukrowska, Ewa and Trnková, Libuše and Kizek, René and Havel, Josef}, address = {Brno, Czech Republic}, booktitle = {Chemometrics V}, edition = {I.}, keywords = {Absorption Spectra of Purine and Pyrimidine Derivatives; Adenine; Cytosine; Artificial Neural Networks; Experimental Design}, language = {eng}, location = {Brno, Czech Republic}, pages = {6-6}, publisher = {Masaryk University, Brno}, title = {Artificial Neural Networks for Quantitative Analysis of Ade-Cyt Mixtures by UV-Vis Spectrophotometry}, year = {1999} }
TY - JOUR ID - 209631 AU - Cukrowska, Ewa - Trnková, Libuše - Kizek, René - Havel, Josef PY - 1999 TI - Artificial Neural Networks for Quantitative Analysis of Ade-Cyt Mixtures by UV-Vis Spectrophotometry VL - Brno Section of the Chemical Society PB - Masaryk University, Brno CY - Brno, Czech Republic KW - Absorption Spectra of Purine and Pyrimidine Derivatives KW - Adenine KW - Cytosine KW - Artificial Neural Networks KW - Experimental Design N2 - This work presents the application of experimental desing and artificial neural networks for quantifying purine and pyrimidine in mixtures studied by UV-Vis spectrophotometry. Multivariate calibration based on a suitable experimental design (ED) and soft modelling with artificial neural networks (ANNs) is used for quantitative analysis of highly overlapped absorbance spectra of adenine and cytosine. ER -
CUKROWSKA, Ewa, Libuše TRNKOVÁ, René KIZEK a Josef HAVEL. Artificial Neural Networks for Quantitative Analysis of Ade-Cyt Mixtures by UV-Vis Spectrophotometry. In \textit{Chemometrics V}. I. Brno, Czech Republic: Masaryk University, Brno, 1999, s.~6. Brno Section of the Chemical Society.
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