| 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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