Akademik Veri Yönetim Sistemi
Journal of Scientific and Engineering Research, cilt.9, sa.5, ss.18-25, 2022 (Hakemli Dergi)
Abstract In this study, the Gravity Anomaly map was used in the investigation of Chromium mineral deposits
in the Erzincan-Kop Mountain region in Turkey. Cellular Neural Network (CNN) method was applied to the
gravity anomaly map and the locations of chrome ore were determined from the obtained CNN map. The aim
here is to determine the real locations and properties of the objects at the investigated depth with the least error.
In this study, the structures at the depth we want can be de-noised with the CNN method, and it allows us to
view the residual structures. The densities of chromium in this region and dunite, which is the country rock in
which chromium is found, show slight differences. For this reason, it becomes difficult to determine the
locations of the ore on the gravity anomaly map. In order to find these small differences, the residual anomaly
map was obtained by applying the CNN method to the residual anomaly map.