| 绥芬河公路口岸货运量预测方法研究 |
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| 引用本文： | 王博,肖生苓.绥芬河公路口岸货运量预测方法研究[J].森林工程,2009,25(1):93-96. |
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| 作者姓名： | 王博 肖生苓 |
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| 作者单位： | 黑龙江省森林持续经营与环境微生物工程重点实验室(东北林业大学)哈尔滨,150040 |
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| 摘 要： | 针对公路口岸货运量预测的问题，基于常用预测方法：线性回归预测、时间序列预测和灰色系统预测及组合预测方法的研究，提出BP神经网络组合预测模型。结合绥芬河公路口岸货运量运输情况，对组合预测模型进行了验证。实验结果表明，该方法对公路货运量的预测很有效。
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| 关 键 词： | 货运量 BP神经网络 组合预测 |
Study of Prediction Merited on Highway Port Freight Volume of Suifenhe River |
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| Wang Bo,Xiao Shengling.Study of Prediction Merited on Highway Port Freight Volume of Suifenhe River[J].Forest Engineering,2009,25(1):93-96. |
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| Authors: | Wang Bo Xiao Shengling |
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| Institution: | ( Key Laboratory of Forest Sustainable Management and Environmental Microorganism Engineering of Heilongjiang Province, Northeast Forestry University, Harbin 150040) |
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| Abstract: | In view of prediction of highway port freight volume, based on common prediction methods namely linear regression forecasting, time series prediction, grey system forecast, and combined forecasting methods, the combined forecasting model based on BP neural network was proposed. Combining with the condition of highway port freight volume of Suifenhe River, the combined forecasting model was verified. The results showed that it was very effective for the prediction of highway port freight volume. |
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| Keywords: | freight volume BP neural network combined forecasting |
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