Prediction of blast boulders in open pit mines via multiple regression and artificial neural networks

Author:

Ghiasi Majid,Askarnejad Nematollah,Dindarloo Saeid R.,Shamsoddini Hamed

Publisher

Elsevier BV

Subject

Geochemistry and Petrology,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology

Reference14 articles.

1. Prediction of shovel productivity in the Gol-E-Gohar iron mine;Osanloo;J Min Sci,2005

2. Monte Carlo simulation as a tool to predict blasting fragmentation based on the Kuz–Ram model;Morin;Comput Geosci,2006

3. Saavedra JC, Katsabanis PD, Pelley CW, Kelebek S. A neural network model for fragmentation by blasting. In: Proceedings of the 8th international symposium on rock fragmentation by blasting. Santiago; 2006. p. 200–206.

4. Simultaneous prediction of fragmentation and flyrock in blasting operation using artificial neural net-works;Monjezi;Int J Rock Mech Min Sci,2010

5. Prediction of rock fragmentation due to blasting in Gol-E-Gohar iron mine using fuzzy logic;Monjezi;Int J Rock Mech Min Sci,2009

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