USE OF PERCEPTRON NEURAL NETWORKS AS A TOOL FOR MINERAL POTENTIAL MAPPING IN EGYPT
Fouad, K., Hanafy, S. (2013). USE OF PERCEPTRON NEURAL NETWORKS AS A TOOL FOR MINERAL POTENTIAL MAPPING IN EGYPT. EKB Journal Management System, 11(1), 75-80. doi: 10.21608/jegs.2013.384997
K.M. Fouad; S.M.M. Hanafy. "USE OF PERCEPTRON NEURAL NETWORKS AS A TOOL FOR MINERAL POTENTIAL MAPPING IN EGYPT". EKB Journal Management System, 11, 1, 2013, 75-80. doi: 10.21608/jegs.2013.384997
Fouad, K., Hanafy, S. (2013). 'USE OF PERCEPTRON NEURAL NETWORKS AS A TOOL FOR MINERAL POTENTIAL MAPPING IN EGYPT', EKB Journal Management System, 11(1), pp. 75-80. doi: 10.21608/jegs.2013.384997
Fouad, K., Hanafy, S. USE OF PERCEPTRON NEURAL NETWORKS AS A TOOL FOR MINERAL POTENTIAL MAPPING IN EGYPT. EKB Journal Management System, 2013; 11(1): 75-80. doi: 10.21608/jegs.2013.384997

USE OF PERCEPTRON NEURAL NETWORKS AS A TOOL FOR MINERAL POTENTIAL MAPPING IN EGYPT

Journal of Egyptian Geophysical Society
Volume 11, Issue 1, 2013, Page 75-80  XML PDF (840.25 K)
Document Type: Original Article
DOI: 10.21608/jegs.2013.384997
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Authors
K.M. Fouad; S.M.M. Hanafy
Nuclear Materials Authority, P.O. Box 530 El Maadi- Cairo, Egypt.
Abstract
A perceptron artificial neural network (PNN) model is proposed to discriminate zones of high mineral potential in the Eastern Desert of Egypt using remote sensing and airborne spectral gamma-ray data stored in a GIS database. A neural network model with one hidden unit was selected by means of a perceptron neuron, which uses the hard-limit transfer function. The trained network delineated a gold potential map efficiently, detected a previously known area as well as a suggested potentially mineralized one. These initial results suggest that PNN can be an effective tool for mineral exploration using spatial data modeling.
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