DocumentCode :
152170
Title :
The investigation of iron ore reserve area of bıngöl region by using cellular neural networks (CNN) method
Author :
Albora, Ali Muhittin
Author_Institution :
Muhendislik Fak. Jeofiz. Muh. Bolumu-Avcilar, Istanbul Univ., İstanbul, Turkey
fYear :
2014
fDate :
23-25 April 2014
Firstpage :
152
Lastpage :
155
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.
Keywords :
cellular neural nets; geophysical prospecting; minerals; Bıngol region; CNN method; HYSA method; Turkey; cellular neural networks; gravity method; iron ore reserve area; magnetic prospecting method; residual structures; selection depth; Cellular neural networks; Circuit theory; Conferences; Iron; Magnetic separation; Signal processing; Signal processing algorithms; Bingöl region; Cellular Neural Networks; Iron ore; reserve operation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
Type :
conf
DOI :
10.1109/SIU.2014.6830188
Filename :
6830188
Link To Document :
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