| BP算法的改进及其在公路工程主材价格预测中的应用 |
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| 引用本文： | 祁志国,李旭宏,杭文.BP算法的改进及其在公路工程主材价格预测中的应用[J].交通与计算机,2007,25(3):128-130,133. |
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| 作者姓名： | 祁志国 李旭宏 杭文 |
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| 作者单位： | 东南大学,南京,210096 |
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| 摘 要： | 在利用相关分析法对主材价格影响因素进行筛选的基础上,建立了基于改进BP神经网络算法的公路工程主材价格预测模型.结合郑州市石屑价格预测的实例,分别采用3种BP改进算法进行预测,并对结果进行了对比分析.证明了使用改进BP神经网络进行公路工程主材价格预测是可行和有效的.
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| 关 键 词： | BP神经网络 公路工程主材价格 自适应学习速率 附加动量法 改进算法 公路工程 价格预测模型 应用 Material Highway Engineering Prediction Price Application BP Algorithm 神经网络 使用 相关分析法 结果 石屑 郑州市 结合 网络算法 筛选 影响因素 |
| 修稿时间： | 2007-04-30 |
Improved BP Algorithm and Its Application in Price Prediction of Highway Engineering Main Material |
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| QI Zhiguo,LI Xuhong,HANG Wen.Improved BP Algorithm and Its Application in Price Prediction of Highway Engineering Main Material[J].Computer and Communications,2007,25(3):128-130,133. |
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| Authors: | QI Zhiguo LI Xuhong HANG Wen |
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| Institution: | Southeast University, Nanjing 210096,China |
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| Abstract: | On the basis of screening out the influencing factors of highway engineering main materials with correlation analysis, a price forecasting model was presented based on improved BP algorithm of highway engineering main materials. Combining with the case of forecasting the price of stone chips in Zhengzhou, three improved algorithms were used and the forecasting results were compared and analyzed. The results prove that forecasting by applying BP neural network is feasible and effective. |
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| Keywords: | BP neural network price of highway engineering main material self-adaptive study speed algorithm additional momentum algorithm |
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