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Cost Control Technology of Ore-dressing Production Process Based on Neural Network and its Application

机译:基于神经网络的选矿生产过程成本控制技术及其应用

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摘要

According to the current status of production cost management of ore-dressing production in China, this paper proposes a technology diagram of cost control of production process to realize the optimum control of material consumption of ore-dressing and builds up a cost predicting model and analysis model based on Neural Networks. The two models above have been applied in the cost control system for the largest hematite ore-dressing factory in China. As a result, the enterprise realizes the dynamic control of the production cost.
机译:针对我国选矿生产的生产成本管理现状,提出了生产过程成本控制技术图,以实现对选矿材料消耗的最优控制,建立了成本预测模型和分析方法。基于神经网络的模型。以上两种模型已应用于中国最大的赤铁矿选矿厂的成本控制系统中。结果,企业实现了生产成本的动态控制。

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