Analysis of the Reserve of Iron Ore using the Cellular Neural Networks (CNN) Method, cilt.7, sa.11, ss.170-176, 2020 (Diğer Kurumların Hakemli Dergileri)
As is known, the separation of regional and residual areas is an important issue in gravity and magnetic prospection methods. The aim is to determine the real structures and properties of the objects at the depth of study with the least error. In this study, with the CNN method, we can purify the structures at the desired depth from noise and view the residual structures. Here, the magnetic anomaly map obtained from the magnetic study of the Bingöl region Heylantepe location right above the iron deposit was distinguished by using the CNN method and the Residual anomaly map was obtained. The underground iron ore was modeled from the section taken from the residual anomaly map.