| 港口集装箱吞吐量预测方法研究 |
| |
| 引用本文： | 刘婷,林连. 港口集装箱吞吐量预测方法研究[J]. 苏州科技学院学报(工程技术版), 2011, 24(4): 44-46 |
| |
| 作者姓名： | 刘婷 林连 |
| |
| 作者单位： | 1. 北京理工大学（珠海学院）机械与车辆学院,广东珠海,519085
2. 上海中谷新良海运有限公司（厦门）,福建厦门,361012 |
| |
| 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。
|
| 关 键 词： | 集装箱吞吐量 预测模型 BP神经网络预测法 |
A Study on Prediction Models of Container Throughput of Port |
| |
| LIU Ting,LIN Lian. A Study on Prediction Models of Container Throughput of Port[J]. Journal of University of Science and Technology of Suzhou:Engineering and Technology, 2011, 24(4): 44-46 |
| |
| Authors: | LIU Ting LIN Lian |
| |
| Affiliation: | LIU Ting1,LIN Lian2(1.School of Mechanical Engineering,Zhuhai Campus of Beijing University of Technology,Zhuhai,519085,China,2.Shanghai Zhonggu Xinliang Co.,Xiamen 361012,China) |
| |
| Abstract: | 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. |
| |
| Keywords: | container throughput prediction model BP neural network prediction model |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
