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AdaBoost_BP神经网络在铁路货运量预测中的应用
引用本文:李松,解永乐,王文旭.AdaBoost_BP神经网络在铁路货运量预测中的应用[J].计算机工程与应用,2012,48(6):233-234,248.
作者姓名:李松  解永乐  王文旭
作者单位:河北大学管理学院,河北保定,071002
摘    要:为提高BP神经网络预测模型的预测准确性,将AdaBoost算法和BP神经网络相结合,提出了一种AdaBoost_BP神经网络预测模型。将该预测模型应用于我国1999年—2009年铁路货运量的历史统计数据,进行有效性验证,结果表明该模型对铁路货运量预测是有效、可靠的,且具有较高的预测精度,可应用于实际预测。

关 键 词:铁路货运量预测  BP神经网络  AdaBoost算法

Application of AdaBoost BP neural network in prediction of railway freight volumes.
LI Song , XIE Yongle , WANG Wenxu.Application of AdaBoost BP neural network in prediction of railway freight volumes.[J].Computer Engineering and Applications,2012,48(6):233-234,248.
Authors:LI Song  XIE Yongle  WANG Wenxu
Affiliation:School of Management, Hebei University, Baoding, Hebei 071002, China
Abstract:In order to improve prediction accuracy of BP neural network model, a prediction model is presented based on combined AdaBoost algorithm and BP neural network. The efficiency of the proposed prediction model is proved by predicting the railway freight volume statistical data from the 1999 to 2009 in China. The computer simulations have shown that this model is effective and suitable, has higher forecasting accuracy, and is applicable to practice.
Keywords:prediction of railway freight volume  BP neural network  AdaBoost algorithm
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