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BP神经网络在新疆货运量预测中的应用
引用本文:张艳云,艾力·斯木吐拉.BP神经网络在新疆货运量预测中的应用[J].交通标准化,2011(17):144-147.
作者姓名:张艳云  艾力·斯木吐拉
作者单位:新疆农业大学机械交通学院,新疆乌鲁木齐,830052
摘    要:在分析货运量影响因素的基础上,利用BP神经网络建立新疆货运量时间序列预测网络结构模型.利用1995~2006年新疆货运量历史数据,对模型进行训练和拟合,再选用2007 ~2008年的历史数据作为网络模型检验样本,同时采用移动平均法、指数平滑法对新疆货运量进行预测,并对预测结果作对比分析.研究表明,采用BP神经网络预测新...

关 键 词:新疆货运量  BP神经网络  预测

Freight Volume Prediction in Xinjiang Based on BP Neural Network
ZHANG Yan-yun,Eli Ismutulla.Freight Volume Prediction in Xinjiang Based on BP Neural Network[J].Communications Standardization,2011(17):144-147.
Authors:ZHANG Yan-yun  Eli Ismutulla
Institution:ZHANG Yan-yun,Eli Ismutulla(Mechanical and Traffic College,Xinjiang Agricultural University,Urumqi 830052,China)
Abstract:On the basis of studying the characteristics of freight volume,the temporal series forecast model for freight volume in Xinjiang was established based on BP Neural Network.By using the historic data of freight volume in Xinjiang during the period of 1995~2006,the network was trained and simulated.Then the historic data of 2007~2008 was tested with a model,the freight volume in Xinjiang was forecasted and comparatively analyzed by using moving average method and exponential smoothing.The result showed that BP neural network was more accurate than other prediction methods.
Keywords:Xinjiang freight volume  BP neural network  forecast  
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