Investigation of Magneto-/Radio-Metric Behavior in Order to Identify an Estimator Model Using K-Means Clustering and Artificial Neural Network (ANN) (Iron Ore Deposit, Yazd, IRAN)

The study area is located near Toot village in the Yazd province of Iran, which considered terms its iron mineralization potential. In this area, due to radioactivity, radiometric surveys were performed a part where magnetometric studies have also been performed. According geological studies, presence magnetic anomalies can complex relationship with intensity radioactivity radioactive elements. Using K-means clustering method, centers clusters calculated and without considering coordinates points. Finally, behavior two variables field strength elements relative each other was studied, mathematical presented analyze these other. On hand, increasing then decreasing Earth’s shows that it possible generalize results radiometry re-sampling region neighboring areas. For purpose, using general regression neural network backpropagation (BPNN) methods, data estimated very good accuracy. (GRNN) more precision estimation, used as model for estimating radiation