DSpace Repository

Artificial neural networks for the wavelet analysis of Lane-Emden equations: exploration of astrophysical enigma

Show simple item record

dc.contributor.author Kumar, Rakesh
dc.contributor.author Aeri, Shivani
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2024-05-28T13:28:25Z
dc.date.available 2024-05-28T13:28:25Z
dc.date.issued 2024
dc.identifier.citation Kumar, Rakesh; Aeri, Shivani; Baleanu, Dumitru (2024). "Artificial neural networks for the wavelet analysis of Lane-Emden equations: exploration of astrophysical enigma", International Journal of Modelling and Simulation. tr_TR
dc.identifier.issn 0228-6203
dc.identifier.uri http://hdl.handle.net/20.500.12416/8425
dc.description.abstract The equations of Lane-Emden (LE) can be visualized in various phenomena of astrophysics, fluid mechanics, polymer science and material science, thus the main concern of the present study is to put a novel effort to resolve these equations by utilizing the artificial neural networking approach incorporation with Vieta-Lucas wavelets called as VLW-ANN method. This unique combination of neural networking and Vieta-Lucas wavelets has been prepared to reduce the computational challenges as well as to overcome the obstacles while dealing with singularity. Many examples of the LE variety are solved by this approach. The effectiveness, accuracy and simplicity of the VLW-ANN scheme are demonstrated by a comparative study between the VLW-ANN results and existing results. Additionally, the results are shown in tables and figures, which give a more favorable impression of the scheme’s dependability. VLW-ANN scheme will provide interesting results for other non-linear models. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1080/02286203.2023.2301126 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Artificial Neural Network tr_TR
dc.subject Lane-Emden Equation tr_TR
dc.subject Vieta-Lucas Wavelet tr_TR
dc.title Artificial neural networks for the wavelet analysis of Lane-Emden equations: exploration of astrophysical enigma tr_TR
dc.type article tr_TR
dc.relation.journal International Journal of Modelling and Simulation tr_TR
dc.contributor.authorID 56389 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record