| dc.contributor.author | Albora, Ali Muhittin | |
| dc.date.accessioned | 2021-03-06T11:36:00Z | |
| dc.date.available | 2021-03-06T11:36:00Z | |
| dc.identifier.citation | Albora A. M. , "THE INVESTIGATION OF IRON ORE RESERVE AREA OF BINGOL REGION BY USING CELLULAR NEURAL NETWORKS (CNN) METHOD", 22nd IEEE Signal Processing and Communications Applications Conference (SIU), Trabzon, Türkiye, 23 - 25 Nisan 2014, ss.152-155 | |
| dc.identifier.other | av_efc95e5a-4ecf-4dc9-a3fc-44593be2aa10 | |
| dc.identifier.other | vv_1032021 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12627/157373 | |
| dc.identifier.uri | https://doi.org/10.1109/siu.2014.6830188 | |
| dc.description.abstract | As it is known that separation of regional and regional fields on gravity and magnetic prospecting method is an important issue The goal is determination of properties and real depth of structures with minimum error. In this study signal-noise ratio is increased in selection depth and it is possible of monitoring of residual structures by using HYSA method Here, HYSA method was applied on magnetic data collecting from iron deposits in Bingol Region. We separate between residual and regional fields and residual map was obtained. | |
| dc.language.iso | eng | |
| dc.subject | Mühendislik ve Teknoloji | |
| dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
| dc.subject | Sinyal İşleme | |
| dc.subject | TELEKOMÜNİKASYON | |
| dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
| dc.subject | Mühendislik | |
| dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
| dc.title | THE INVESTIGATION OF IRON ORE RESERVE AREA OF BINGOL REGION BY USING CELLULAR NEURAL NETWORKS (CNN) METHOD | |
| dc.type | Bildiri | |
| dc.contributor.department | İstanbul Üniversitesi , Mühendislik Fakültesi , Jeofizik Mühendisliği Bölümü | |
| dc.contributor.firstauthorID | 143256 | |
