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Study on Mine Construction Engineering Cost Fast Estimation Method

机译:矿井建筑工程成本快速估计方法研究

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The laneway cost determination of mine construction engineering is the key point of the coal mine construction, its rapidity and the accuracy have obvious effect in construction stage, it is advantageous in reducing time and saving management cost in this stage. For this aim, this paper establishes a cost estimation model of mine construction by neural network firstly, then takes the cost estimation of laneway project as an example, selects suitable project characteristics, Uses MATLAB provided the BP neural network model to predict the laneway construction estimated cost The result indicates that the neural network method can achieve the goal better and more quickly.
机译:矿井建筑工程的巷道成本确定是煤矿建设的关键点,其速度与准确性在施工阶段具有明显的影响,有利的是减少了这个阶段的时间和节省管理成本。为此目的,本文首先建立了神经网络矿井建设成本估算模型,然后采取巷道工程的成本估计,选择合适的项目特性,使用MATLAB提供了BP神经网络模型来预测跳道施工跳道施工成本结果表明神经网络方法可以更好地达到目标。

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