Performance of ANN in determination of unstable points in leveling networks

dc.contributor.authorCelik, Cahit Tagi
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2010
dc.departmentNiğde ÖHÜ
dc.description.abstractDeformation analysis is important for a man-made structure or a natural phenomenon like crustal movement, vertical land movements, subsidence determination, etc. Deformation analysis generally depends upon determination of stable and unstable points relative to a reference network assumed to be located outside the movement area. However, a reference network itself needs to be assured free from movements. This can be achieved conventionally by using a single point movement test. The accuracy of the results depends on the method used. This study recommends a new method of detecting stable and unstable points in a reference network designed for vertical movements. The method is based on an artificial neural network (ANN) which also enables one to measure the validity of performance of conventional method aiming at the determination of unstable points in a reference network. The presented results showed that the ANN is capable of determining unstable and stable points in a one-dimensional surveying network.
dc.identifier.endpage407
dc.identifier.issn1992-1950
dc.identifier.issue5
dc.identifier.scopus2-s2.0-77953508901
dc.identifier.scopusqualityN/A
dc.identifier.startpage401
dc.identifier.urihttps://hdl.handle.net/11480/4886
dc.identifier.volume5
dc.identifier.wosWOS:000278444200002
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorCelik, Cahit Tagi
dc.language.isoen
dc.publisherACADEMIC JOURNALS
dc.relation.ispartofINTERNATIONAL JOURNAL OF THE PHYSICAL SCIENCES
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDeformation monitoring
dc.subjectdeformation analysis
dc.subjectreference network
dc.subjectleveling network
dc.subjectartificial neural network
dc.subjectvertical movements
dc.titlePerformance of ANN in determination of unstable points in leveling networks
dc.typeArticle

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