Optimizing overbreak prediction based on geological parameters comparing multiple regression analysis and artificial neural network

Tunnelling and Underground Space Technology

Volumn 38, Issue , 2013, Pages 161-169

  Jang, Hyongdoo ^a   Topal, Erkan ^a  

^a CURTIN UNIVERSITY   (Australia)

Author keywords

Artificial neural network; Blasting; Multiple regression analysis; Overbreak; Underground mine

Indexed keywords

COEFFICIENT CORRELATIONS; GEOLOGICAL PARAMETERS; MULTIPLE REGRESSION ANALYSIS; NONLINEAR MULTIPLE REGRESSIONS; OPERATION IMPROVEMENTS; OVERBREAK; TECHNOLOGICAL ADVANCEMENT; UNDERGROUND MINE;

FORECASTING; MINING; NEURAL NETWORKS; OPTIMIZATION; REGRESSION ANALYSIS; STATISTICS;

BLASTING;

ARTIFICIAL NEURAL NETWORK; BLASTING; MINE; MULTIPLE REGRESSION; NUMERICAL MODEL; OVERBREAK; PREDICTION;

EID: 84880337919     PISSN: 08867798     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tust.2013.06.003     Document Type: Article

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