Explorations in parallel distributed processing: a handbook of models, programs, and exercises
Explorations in parallel distributed processing: a handbook of models, programs, and exercises
Fast learning in networks of locally-tuned processing units
Neural Computation
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Economic benefit and resource utilization rate should be considered when optimizing the cut-off grade and grade of crude ore in production management of metal mine This paper introduces soft computing to the field of mine, to determine the combination of grades in the condition of multiple objectives, and its basic idea is that, ANN is used to model the nonlinear function from the relative variables to metal recovery of milling and total cost, fuzzy comprehensive evaluation integrates multiple objection, GA searches for the optimal grades combination, these three techniques not only function independently but also effectively integrate together, collectively display the function of modeling, reasoning and optimization Take Daye Iron mine as an example, and it indicated the validity of proposed method, from January to November in 2007, the optimal cut-off grade and grade of crude ore are 16.53% and 43.14%, respectively, and contrasted to the present scheme, lower cut-off grade and higher grade of crude ore can produce more amount of the concentrate ore, get more profit, and enhance higher utilization rate of resource.