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Artificial‐intelligence‐based interpretation of feature sensitivities of the Belousov‐Zhabotinsky reaction
Author(s) -
Györgyi L.,
Deutsch T.,
Kőrös E.
Publication year - 1987
Publication title -
international journal of chemical kinetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.341
H-Index - 68
eISSN - 1097-4601
pISSN - 0538-8066
DOI - 10.1002/kin.550190505
Subject(s) - chemistry , autocatalysis , belousov–zhabotinsky reaction , kinetic energy , thermodynamics , reaction rate constant , interpretation (philosophy) , reaction rate , autocatalytic reaction , feature (linguistics) , biological system , kinetics , statistical physics , organic chemistry , catalysis , computer science , classical mechanics , linguistics , physics , philosophy , biology , programming language
A new approach is presented for analyzing kinetic models of relaxation‐type oscillatory systems on the basis of numerical data. Feature sensitivities of the length of the two kinetic states of the Belousov‐Zhabotinsky (BZ) reaction with respect to the rate constants of the model are explained by means of a logic‐based inference system. The main kinetic roles of the individual reaction steps on the relaxing components are revealed, and a consistent interpretation of the kinetic states is given by this process. Both the high and the low set of rate constants were studied. According to our analysis, the bromous acid‐hypobromous acid reaction is an important Br − producing step of the model, and in the case of the low set, the bromate‐bromous acid reaction is not the rate‐determining step of the bromous acid autocatalysis.