Celik, Cahit Tagi2019-08-012019-08-0120101992-1950https://hdl.handle.net/11480/4886Deformation 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.eninfo:eu-repo/semantics/closedAccessDeformation monitoringdeformation analysisreference networkleveling networkartificial neural networkvertical movementsArticle554014072-s2.0-77953508901N/AWOS:000278444200002Q2