Evaluation of effect of blast design parameters on flyrock using artificial neural networks

Neural Computing and Applications

Volumn 23, Issue 2, 2013, Pages 349-356

  Monjezi, M ^a   Mehrdanesh, A ^a   Malek, A ^a   Khandelwal, Manoj ^b  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b MAHARANA PRATAP UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (India)

Author keywords

Artificial neural network; Backpropagation; Blasting; Flyrock; Sungun mine

Indexed keywords

BACKPROPAGATION; BLASTING; COPPER MINES; FORECASTING; OPEN PIT MINING; SENSITIVITY ANALYSIS;

BLASTING OPERATIONS; EFFECTIVE PARAMETERS; EMPIRICAL METHOD; FLYROCK; HAZARDOUS EVENTS; OPEN-PIT BLASTING; PREDICTION CAPABILITY; STATISTICAL MODELING;

NEURAL NETWORKS;

EID: 84880758666     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-012-0917-2     Document Type: Article

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