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A new (3 + 1) dimensional Hirota bilinear equation: Periodic, rogue, bright and dark wave solutions by bilinear neural network method

dc.contributor.authorZeynel M.
dc.contributor.authorYaşar E.
dc.contributor.buuauthorYAŞAR, EMRULLAH
dc.contributor.buuauthorZeynel, Melih
dc.contributor.departmentFen Edebiyat Fakültesi
dc.contributor.departmentMatematik Ana Bilim Dalı
dc.contributor.orcid23471031300
dc.contributor.scopusid 57667753900
dc.date.accessioned2025-05-13T06:43:49Z
dc.date.issued2022-01-01
dc.description.abstractThis study deals with a new (3 + 1) dimensional Hirota equation that emerges in shallow water waves theory. Considering the bilinear form of this equation, the bilinear neural network method was applied. At this point, new activation functions have been proposed by using both single-layer and multi-layer neurons such as 4-2-2 and 4-2-3 types. As a result, a periodic type I–II, rogue, bright, and dark wave solutions with physical properties have been systematically produced via Maple symbolic software. In order to better consider the characteristics and dynamic structure of these revealed solution forms, 3D, contour, density, and 2D dimensional graphics are drawn for the appropriate values of the parameters. Bilinear neural network method includes many existing classical test functions and is an effective, robust and systematic approach.
dc.identifier.doi10.1016/j.joes.2022.04.017
dc.identifier.endpage9
dc.identifier.issn24680133
dc.identifier.issue
dc.identifier.scopus2-s2.0-85129515190
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11452/51776
dc.identifier.volume
dc.indexed.scopusScopus
dc.language.isoen
dc.publisherShanghai Jiaotong University
dc.relation.journalJournal of Ocean Engineering and Science
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSymbolic computation
dc.subjectHirota bilinear equation
dc.subjectBilinear neural network method
dc.subject.scopusSolitary Wave; Optical Fiber; Soliton Solution
dc.titleA new (3 + 1) dimensional Hirota bilinear equation: Periodic, rogue, bright and dark wave solutions by bilinear neural network method
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentFen Edebiyat Fakültesi/Matematik Ana Bilim Dalı
local.indexed.atScopus
relation.isAuthorOfPublicationa5ff66ef-0c87-4d77-a467-e3150f51624c
relation.isAuthorOfPublication.latestForDiscoverya5ff66ef-0c87-4d77-a467-e3150f51624c

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