计算机工程与应用2012，Vol.48Issue(6)：233-234,248,3.DOI:10.3778/j.issn.1002-8331.2012.06.064
AdaBoost_BP神经网络在铁路货运量预测中的应用
Application of AdaBoost_BP neural network in prediction of railway freight volumes
摘要
Abstract
In order to improve prediction accuracy of BP neural network model, a prediction model is presented based on combined Ad-aBoost 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.关键词
铁路货运量预测/BP神经网络/AdaBoost算法Key words
prediction of railway freight volume/BP neural network/AdaBoost algorithm分类
交通工程引用本文复制引用
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):233-234,248,3.
