A comparative study of truck cycle time prediction methods in open‐pit mining

作者: Emmanuel K. Chanda , Steven Gardiner

DOI: 10.1108/09699981011074556

关键词:

摘要: Purpose – The purpose of this paper is to compare the predictive capability three methods truck cycle time estimation in open‐pit mining: computer simulation, artificial neural networks (NNs), and multiple regressions (MRs). aim determine best method. most common method currently used simulation.Design/methodology/approach Truck times at a large open pit mine are estimated using NNs, MRs. by each turn compared actual recorded computerized monitoring system same mine. errors associated with relative documented form basis for comparing methods.Findings clearly indicates that simulation predicting mining underestimate overestimate results short long hauls, respectively. It appears both NN regression mo...

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