-
HAVLIŠ, Jan; Klára NOVOTNÁ a Josef HAVEL. Optimization of high performance liquid chromatography separation of neuroprotective peptides. Fractional experimental design combined with Artificial neural networks. Journal of Chromatography A. Elsevier B.V., 2005, roč. 1096, 1-2, s. 50-57. ISSN 0021-9673.Podrobněji: https://is.muni.cz/publication/617326/cs
-
SPANILÁ, Miroslava; Jiří PAZOUREK; Marta FARKOVÁ a Josef HAVEL. Optimization of solid-phase extraction using artificial neural networks in combination with experimental design for determination of resveratrol by capillary zone electrophoresis in wines. J. Chromatogr. A. Amsterdam (The Netherlands): Elsevier Science, 2005, roč. 1084, č. 1, s. 180-185. ISSN 0021-9606.Podrobněji: https://is.muni.cz/publication/710521/cs
-
BOCAZ-BENEVENTI, Gaston; Rosa LATORRE; Marta FARKOVÁ a Josef HAVEL. Artificial neural networks for quantification in unresolved capillary electrophoresis peaks. Analytica Chimica Acta. Amsterdam: Elsevier Science Publishers, 2002, roč. 452, č. 1, s. 47-63. ISSN 0003-2670.Podrobněji: https://is.muni.cz/publication/400391/cs
-
HAVEL, Josef; Přemysl LUBAL a Marta FARKOVÁ. Evaluation of Chemical Equilibrium Data with the Use of Artificial Neural Networks. Polyhedron. Velká Británie: Elsevier Science Ltd., 2002, roč. 21, 14-15, s. 1375-1384. ISSN 0277-5387.Podrobněji: https://is.muni.cz/publication/483374/cs
-
HAVLIŠ, Jan; John Edward MADDEN; Alma Luísa REVILLA VÁZQUEZ a Josef HAVEL. High Performance Liquid Chromatographic determination of deoxycytidine monophosphate and methyl-deoxycytidine monophosphate for DNA demethylation monitoring: Experimental Design and Artificial Neural Networks optimisation. J. Chromatogr. B. Amsterdam: Elsevier Science, 2001, roč. 2001, č. 755, s. 185-193. ISSN 0378-4347.Podrobněji: https://is.muni.cz/publication/374752/cs
-
CUKROWSKA, Ewa; Libuše TRNKOVÁ; René KIZEK a Josef HAVEL. Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures. JOURNAL OF ELECTROANALYTICAL CHEMISTRY. Lausanne: ELSEVIER SCIENCE SA, LAUSANNE, 2001, roč. 2001, č. 503, s. 117-124. ISSN 0022-0728.Podrobněji: https://is.muni.cz/publication/371372/cs
-
CUKROWSKA, Ewa; Libuše TRNKOVÁ; René KIZEK a Josef HAVEL. Use of artificial neural networks for the evaluation of electrochemical signals of adenine and cytosine in mixtures interfered with hydrogen evolution. J.Electroanal.Chem. The Netherlands: Elsevier, 2001, roč. 2002, 1-2, s. 117-124. ISSN 0022-0728.Podrobněji: https://is.muni.cz/publication/390956/cs
-
CUKROWSKA, Ewa; Libuše TRNKOVÁ; René KIZEK a Josef HAVEL. Artificial Neural Network for Quantitative Analysis of Adenine-Cytosine Mixtures by Linear Scan Voltammetry and Differential Pulse Polarography. In Modern Electroanalytical Methods. I. Pardubice: Univerzita Pardubice, 1999, s. 16. Modern Electroanalytical Methods. ISBN 80-7194-212-X.Podrobněji: https://is.muni.cz/publication/209491/cs
-
Artificial Neural Networks for Quantitative Analysis of Ade-Cyt Mixtures by UV-Vis SpectrophotometryCUKROWSKA, 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.Podrobněji: https://is.muni.cz/publication/209631/cs