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Comparing the Performance of MLP, RBF, PNN and GRNN Neural Networks for Determining Boreholes of Porphyry Copper in GIS

M. forutan; A. mansourian; M. Zareinejad; M. R. Sahebi

Volume 21, Issue 81 , December 2011, , Pages 15-22

https://doi.org/10.22071/gsj.2011.54198

Abstract
  Drilling in mine deposits has proven to be complicated, costly and time consuming process, hence it has identified the determining of optimum boreholes as a crucial  issue in detailed studies. Because of some complexity in formation of mineral deposits, decreasing in risk and expenses of drilling ...  Read More