TY - GEN

T1 - The integration of artificial neural networks and geostatistical 3D geological block modelling

T2 - 24th International Mining Congress of Turkey, IMCET 2015

AU - Jalloh, A. B.

AU - Sasaki, K.

AU - Jalloh, Yaguba

PY - 2015

Y1 - 2015

N2 - In this research, an Artificial Neural Network model was developed to predict metal content from drillhole data using the back propagation algorithm. For validation purposes, results between the actual and predicted mineral grades were compared, and regression analysis of the compared results indicate that the predicted mineral grades were in close proximity to the actual grades. The validated model was used to predict mineral grades at unsampled locations in order to determine the feasibility of drilling in those areas. The optimum results obtained from the neural network were fed to geostatistical techniques for developing a geological 3D block model for mine design. The generalized data from the Neural Network show that Artificial Neural Networks can be used to complement exploration activities and is an effective approach for mineral reserve estimation without worrying about spatial variability or other assumptions.

AB - In this research, an Artificial Neural Network model was developed to predict metal content from drillhole data using the back propagation algorithm. For validation purposes, results between the actual and predicted mineral grades were compared, and regression analysis of the compared results indicate that the predicted mineral grades were in close proximity to the actual grades. The validated model was used to predict mineral grades at unsampled locations in order to determine the feasibility of drilling in those areas. The optimum results obtained from the neural network were fed to geostatistical techniques for developing a geological 3D block model for mine design. The generalized data from the Neural Network show that Artificial Neural Networks can be used to complement exploration activities and is an effective approach for mineral reserve estimation without worrying about spatial variability or other assumptions.

UR - http://www.scopus.com/inward/record.url?scp=84934300356&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84934300356&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84934300356

T3 - Proceedings of the 24th International Mining Congress of Turkey, IMCET 2015

SP - 257

EP - 263

BT - Proceedings of the 24th International Mining Congress of Turkey, IMCET 2015

A2 - Karadeniz, Mehmet

A2 - Gulsun Kilic, Mehtap

A2 - Torun Bilgic, Elif

A2 - Basarir, Hakan

A2 - Onel, Oznur

PB - TMMOB Maden Muhendisleri Odasi

Y2 - 14 April 2015 through 17 April 2015

ER -