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This paper re-examines the Itakpe iron ore deposit using geostatistics and artificial neural network techniques. Set of exploration information on the deposit are used to develop ordinary kriging (OK) model… Click to show full abstract
This paper re-examines the Itakpe iron ore deposit using geostatistics and artificial neural network techniques. Set of exploration information on the deposit are used to develop ordinary kriging (OK) model that produced a minimal error. The sensitivity analysis is used to choose a multilayer perceptron (MLP) network model as the optimum network for the ANN. The OK model showed a better performance for grade estimation when compared with the MLP model. Thus, using OK, a total resource of about 12% lower than that of the conventional method, which is currently in use in Itakpe, is obtained.
Journal Title: Arabian Journal of Geosciences
Year Published: 2020
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