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A rock engineering systems (RES) based model is defined to predict the level of risk due to out-of-seam dilution (OSD) in longwall faces. Also, based on the level of risks obtained, a predictive model for the OSD is proposed. Furthermore, an artificial neural networks (ANN) model is developed to predict the OSD. The data collected from thirty-five longwall faces are used to carry out the risk analysis...
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