Performance of ANN in determination of unstable points in leveling networks
Küçük Resim Yok
Tarih
2010
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
ACADEMIC JOURNALS
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Deformation 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.
Açıklama
Anahtar Kelimeler
Deformation monitoring, deformation analysis, reference network, leveling network, artificial neural network, vertical movements
Kaynak
INTERNATIONAL JOURNAL OF THE PHYSICAL SCIENCES
WoS Q Değeri
Q2
Scopus Q Değeri
N/A
Cilt
5
Sayı
5
