dc.creatorBorges, E .
dc.creatorMenezes, D. C.
dc.creatorBraga, J. P.
dc.date2018-10-23T14:58:09Z
dc.date2018-10-23T14:58:09Z
dc.date2012-05-15
dc.date.accessioned2023-09-27T20:52:05Z
dc.date.available2023-09-27T20:52:05Z
dc.identifier1097-461X
dc.identifierhttps://doi.org/10.1002/qua.24163
dc.identifierhttp://www.locus.ufv.br/handle/123456789/22385
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8949748
dc.descriptionA neural network procedure is applied to solve an ill-posed inverse problem in chemical kinetics relevant to chemical and biological areas; calculation of rate constants for the jack-bean urease denaturation by an anionic surfactant agent from experimental enzyme concentrations. The efficiency of the algorithm proposed is compared with the Simplex and the Levenberg Marquardt techniques, often used in nonlinear regression methods to solve this kind of kineticsproblem. The neural network approach is numerically stable and robust with respect to different initial guesses for the C 2012 Wileyrate constants and noises in experimental data. V Periodicals, Inc.
dc.formatpdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherInternational Journal of Quantum Chemistry
dc.relationvolume 112, issue 19, pages 3240– 32245, may 2012
dc.rightsOpen Access
dc.subjectIll-posed inverse problem
dc.subjectChemical kinetics
dc.subjectRate constants
dc.subjectJack-bean urease denaturation
dc.subjectll-posed inverse problem
dc.titleAn III-posed inverse problem in enzymatic kinetics: Jack-bean urease denaturation by an anionic surfactant
dc.typeArtigo


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