DSpace@Çankaya

Artificial neural network approach for a class of fractional ordinary differential equation

Basit öğe kaydını göster

dc.contributor.author Jafarian, Ahmad
dc.contributor.author Mokhtarpour, Masoumeh
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2020-03-18T07:50:56Z
dc.date.available 2020-03-18T07:50:56Z
dc.date.issued 2017-04
dc.identifier.citation Jafarian, Ahma; Mokhtarpour, Masoumeh; Baleanu, Dumitru, "Artificial neural network approach for a class of fractional ordinary differential equation", Neural Computing&Applications, Vol.28, No.4, pp.765-773, (2017). tr_TR
dc.identifier.issn 0941-0643
dc.identifier.uri http://hdl.handle.net/20.500.12416/2663
dc.description.abstract The essential characteristic of artificial neural networks which against the logistic traditional systems is a data-based approach and has led a number of higher education scholars to investigate its efficacy, during the past few decades. The aim of this paper was concerned with the application of neural networks to approximate series solutions of a class of initial value ordinary differential equations of fractional orders, over a bounded domain. The proposed technique uses a suitable truncated power series of the solution function and transforms the original differential equation in a minimization problem. Then, the minimization problem is solved using an accurate neural network model to compute the parameters with high accuracy. Numerical results are given to validate the iterative method. tr_TR
dc.language.iso eng tr_TR
dc.publisher Springer tr_TR
dc.relation.isversionof 10.1007/s00521-015-2104-8 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Feed-Forward Neural Network tr_TR
dc.subject Fractional Differential Equation tr_TR
dc.subject Approximate Solution tr_TR
dc.subject Backpropagation Learning Algorithm tr_TR
dc.title Artificial neural network approach for a class of fractional ordinary differential equation tr_TR
dc.type article tr_TR
dc.relation.journal Neural Computing&Applications tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 28 tr_TR
dc.identifier.issue 4 tr_TR
dc.identifier.startpage 765 tr_TR
dc.identifier.endpage 773 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen Edebiyat Fakültesi, Matematik Bölümü tr_TR


Bu öğenin dosyaları:

Dosyalar Boyut Biçim Göster

Bu öğe ile ilişkili dosya yok.

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster