. "RIV/00216224:14310/01:00004475!RIV/2002/MSM/143102/N" . "14310" . "Evaluation of Equilibria with Use of Artificial Neural Networks (ANN). II. ANN and Experimental Design as a Tool in Electrochemical Data Evaluation for Fully Dynamic (Labile) Metal Complexes" . "DE - Spolkov\u00E1 republika N\u011Bmecko" . "Z(MSM 143100011)" . "A use of artificial neural networks (ANN) and various experimental designs (ED) for refinement of experimental data obtained in a polarographic metal-ligand equilibrium study of fully dynamic (labile) metal complexes was thoroughly examined. ANN were tested on evenly and randomly distributed experimental error-free and error-corrupted data. It was found that randomly distributed experimental data did not influence the prediction power of ANN. Numerous tests demonstrated that ANN with appropriate ED can provide accurate prediction in the stability constants with the absolute errors in the range of +- 0.05 log unit or smaller. ANNs were found exceptionally robust. Random experimental errors have not influence estimates in stability constants much even when errors in pH up to the value of +- 0.1 pH unit were introduced. A special procedure has been worked out that allows to minimise the influence of error-corrupted data even further; no significant difference was observed between results obtained on erro" . . . "2"^^ . "3"^^ . "Evaluation of Equilibria with Use of Artificial Neural Networks (ANN). II. ANN and Experimental Design as a Tool in Electrochemical Data Evaluation for Fully Dynamic (Labile) Metal Complexes" . "Havel, Josef" . . . "0"^^ . "Farkov\u00E1, Marta" . "0"^^ . "Artificial neural networks / Experimental design / Stability constants / Polarography / Metal complexes / Ion selective electrodes / Metal-ligand equilibria"@en . "Evaluation of Equilibria with Use of Artificial Neural Networks (ANN). II. ANN and Experimental Design as a Tool in Electrochemical Data Evaluation for Fully Dynamic (Labile) Metal Complexes"@en . . . . "1040-0397" . . . . "Cukrowski, Ignacy" . "[FB061687F110]" . "Evaluation of Equilibria with Use of Artificial Neural Networks (ANN). II. ANN and Experimental Design as a Tool in Electrochemical Data Evaluation for Fully Dynamic (Labile) Metal Complexes"@en . . "13" . "4" . "RIV/00216224:14310/01:00004475" . . "A use of artificial neural networks (ANN) and various experimental designs (ED) for refinement of experimental data obtained in a polarographic metal-ligand equilibrium study of fully dynamic (labile) metal complexes was thoroughly examined. ANN were tested on evenly and randomly distributed experimental error-free and error-corrupted data. It was found that randomly distributed experimental data did not influence the prediction power of ANN. Numerous tests demonstrated that ANN with appropriate ED can provide accurate prediction in the stability constants with the absolute errors in the range of +- 0.05 log unit or smaller. ANNs were found exceptionally robust. Random experimental errors have not influence estimates in stability constants much even when errors in pH up to the value of +- 0.1 pH unit were introduced. A special procedure has been worked out that allows to minimise the influence of error-corrupted data even further; no significant difference was observed between results obtained on erro"@en . "Electroanalysis" . "14"^^ . "295" . . "679713" .