摘要
介绍了BP神经网络预测法、回归分析预测法和二次指数平滑预测法,以厦门港集装箱吞吐量的预测为例进行比较和分析。结果表明:BP神经网络预测法的预测精度高于后两种预测方法,其预测结果的可靠性最高。
This paper introduced the BP neural network prediction model,the regression analysis prediction model and the second exponential smoothing prediction model,and taking the prediction of the container throughput of Xiamen Port as an example,the comparison and analysis of the three methods were made.The result implied that the prediction accuracy of the BP neural network model was higher than that of the latter two methods,and the prediction reliability was the highest.
出处
《苏州科技学院学报（工程技术版）》
CAS
2011年第4期44-46,共3页
Journal of Suzhou University of Science and Technology （Engineering and Technology）
关键词
集装箱吞吐量
预测模型
BP神经网络预测法
container throughput
prediction model
BP neural network prediction model
