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dc.contributor.authorAlbora, A. Muhittin
dc.contributor.authorUcan, O. Nuri
dc.contributor.authorCaglak, Faruk
dc.date.accessioned2021-03-02T20:26:17Z
dc.date.available2021-03-02T20:26:17Z
dc.identifier.citationCaglak F., Albora A. M. , Ucan O. N. , "Determination off the fault zone by using genetic celluar neular network in the Thrace and the Marmara Sea", IEEE 14th Signal Processing and Communications Applications, Antalya, Türkiye, 16 - 19 Nisan 2006, ss.176-177
dc.identifier.othervv_1032021
dc.identifier.otherav_01f7fd99-f041-4794-9d32-4b8439411ed5
dc.identifier.urihttp://hdl.handle.net/20.500.12627/7268
dc.description.abstractIn this paper, we attempted to determine the location of fault zone using the Genetic Celluar Neular Network Method (G-CNN) in the Thrace and the Marmara Sea regions. G-CNN is a method used to detect specific feature of the 2-D image in the image-processing technic. Genetic algorithm has been used for as learning algorithm in the G-CNN. The G-CNN method has been used for determining the fault zone, as detect regional and residual effect of the gravity anomaly map. Regional anomaly map has been modelled accordingly and compared to the avaliable seismic data. The fault zones in these regions, have been determined by way of companion of the fault model with geological data the outcome of which ultimately gives complete accord.
dc.language.isoeng
dc.subjectGÖRÜNTÜLEME BİLİMİ VE FOTOĞRAF TEKNOLOJİSİ
dc.subjectKlinik Tıp
dc.subjectKlinik Tıp (MED)
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectSinyal İşleme
dc.subjectBilgisayar Bilimleri
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.subjectMühendislik ve Teknoloji
dc.subjectAlgoritmalar
dc.subjectMühendislik
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.titleDetermination off the fault zone by using genetic celluar neular network in the Thrace and the Marmara Sea
dc.typeBildiri
dc.contributor.departmentİstanbul Üniversitesi , ,
dc.contributor.firstauthorID131464


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