A robust hybrid algorithm (neural networks-AGDC) applied to non-isothermal kinetics of consecutive chemical reactions

DOI10.1007/S10910-015-0472-ZzbMath1325.92099OpenAlexW1995437577MaRDI QIDQ2353562

J. L. González-Hernández, Diana Juanes, M. Mar Canedo, Sonsoles Encinar

Publication date: 15 July 2015

Published in: Journal of Mathematical Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10910-015-0472-z

zbMATH Keywords

neural networkshybrid algorithmnon-isothermal kineticsAGDCthermodynamic activation parameters

Mathematics Subject Classification ID

Classical flows, reactions, etc. in chemistry (92E20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

ANN-MATOPT hybrid algorithm: determination of kinetic and non-kinetic parameters in different reaction mechanisms

Uses Software

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Cites Work

• KINMODEL (AGDC): a multipurpose computational method for kinetic treatment
• Combining artificial neural networks and experimental design to prediction of kinetic rate constants
• Application the computational method KINMODEL(AGDC) to the simultaneous determination of kinetic and analytical parameters
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