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Data Mining on Prices of Highway Project Main Material Based on WEB

机译:基于WEB的公路工程主要材料价格数据挖掘

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The management of main material prices of provincial highway project quota has problems of lag and blindness. Framework of provincial highway project quota data MIS and main material price data warehouse were established based on WEB firstly. Then concrete processes of provincial highway project main material prices were brought forward based on BP neural network algorithmic. After that standard BP algorithmic, additional momentum modify BP network algorithmic, self-adaptive study speed improved BP network algorithmic were compared in predicting highway project main prices. The result indicated that it is feasible to predict highway main material prices using BP NN, and using self-adaptive study speed improved BP network algorithmic is the relatively best one.
机译:省级公路工程定额主要材料价格管理存在滞后和盲目的问题。首先基于WEB建立了省级公路工程定额数据管理信息系统和主要材料价格数据仓库的框架。然后基于BP神经网络算法提出了省级公路工程主要材料价格的具体过程。在该标准BP算法之后,比较了其他动量修正BP网络算法,自适应研究速度提高的BP网络算法在预测公路项目主要价格时的效果。结果表明,采用BP神经网络预测公路主要材料价格是可行的,采用自适应学习速度改进的BP网络算法是相对较好的。

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