Artificial neural networks combined with experimental design: a ?soft? approach for chemical kinetics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F12%3A00059296" target="_blank" >RIV/00216224:14310/12:00059296 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.talanta.2012.01.044" target="_blank" >http://dx.doi.org/10.1016/j.talanta.2012.01.044</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.talanta.2012.01.044" target="_blank" >10.1016/j.talanta.2012.01.044</a>
Alternative languages
Result language
angličtina
Original language name
Artificial neural networks combined with experimental design: a ?soft? approach for chemical kinetics
Original language description
The possibilities of artificial neural networks (ANNs) ?soft? computing to evaluate chemical kinetic data have been studied. In the first stage, , a set of ?standard? kinetic curves with known parameters (rate constants and/or concentrations of the reactants), which is some kind of ?normalized maps?, is prepared. The data base should be built according to a suitable experimental design (ED). In the second stage, such data set is then used for ANNs ?learning?. Afterwards, in the second stage, experimental data are evaluated and parameters of ?other? kinetic curves are computed without solving anymore the system of differential equations. The combined ED-ANNs approach has been applied to solve several kinetic systems. It was also demonstrated that usingANNs, the optimization of complex chemical systems can be achieved even not knowing or determining the values of the rate constants. Moreover, the solution of differential equations is here not necessary, as well.
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
CB - Analytical chemistry, separation
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
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Talanta
ISSN
0039-9140
e-ISSN
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Volume of the periodical
93
Issue of the periodical within the volume
MAY
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
7
Pages from-to
72-78
UT code for WoS article
000303305700010
EID of the result in the Scopus database
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