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
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F01%3A00004475" target="_blank" >RIV/00216224:14310/01:00004475 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
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
Original language description
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 canprovide 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
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
CG - Electrochemistry
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Electroanalysis
ISSN
1040-0397
e-ISSN
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Volume of the periodical
13
Issue of the periodical within the volume
4
Country of publishing house
DE - GERMANY
Number of pages
14
Pages from-to
295
UT code for WoS article
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EID of the result in the Scopus database
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