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A novel radial basis procedure for the SIRC epidemic delay differential model

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dc.contributor.author Sabir, Zulqurnain
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Mallawi, Fouad Othman
dc.contributor.author Ullah, Malik Zaka
dc.date.accessioned 2023-11-22T12:27:32Z
dc.date.available 2023-11-22T12:27:32Z
dc.date.issued 2023-10-03
dc.identifier.citation Sabir, Zulqurnain...et al. (2023). "A novel radial basis procedure for the SIRC epidemic delay differential model", International Journal Of Computer Mathematics, Vol.100, No. 10, pp. 2014-2025. tr_TR
dc.identifier.issn 0020-7160
dc.identifier.uri http://hdl.handle.net/20.500.12416/6575
dc.description.abstract The purpose of this work is to construct a reliable stochastic framework for solving the SIRC delay differential epidemic system, i.e. SIRC-DDES that is based on the coronavirus dynamics. The design of radial basis (RB) transfer function with the optimization of Bayesian regularization neural network (RB-BRNN) is presented to solve the SIRC-DDES. The SIRC-DDES is classified into susceptible $ S(x) $ S(x), infected $ I(x) $ I(x), recovered $ R(x) $ R(x) and cross-immune $ C(x) $ C(x). The exactness of the RB-BRNN is performed for three cases of SIRC-DDES by using the performances of the obtained and reference results. The mean square error is reduced by using the training, testing and substantiation performances with the reference solutions. The small values of the absolute error around 10-07 to 10-08 and different statistical operator performances based on the error histogram values, transitions of state investigations, correlation and regression tests also approve the accuracy of the proposed technique. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1080/00207160.2023.2248286 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Radial Basis tr_TR
dc.subject Epidemic tr_TR
dc.subject Bayesian Regularization tr_TR
dc.subject Nonlinear Model tr_TR
dc.subject Neuralnetworks tr_TR
dc.title A novel radial basis procedure for the SIRC epidemic delay differential model tr_TR
dc.type article tr_TR
dc.relation.journal International Journal Of Computer Mathematics tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 100 tr_TR
dc.identifier.issue 10 tr_TR
dc.identifier.startpage 2014 tr_TR
dc.identifier.endpage 2025 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


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