| BP神经网络在防城港货物吞吐量预测中的应用 |
| |
| 引用本文： | 王红双,张欣蕾,朱荣艳.BP神经网络在防城港货物吞吐量预测中的应用[J].物流科技,2010,33(5):33-35. |
| |
| 作者姓名： | 王红双 张欣蕾 朱荣艳 |
| |
| 作者单位： | 北京化工大学北方学院,经济管理学院,北京,101601 |
| |
| 摘 要： | 由于港口吞吐量的影响因素相当多，这些影响因素中大部分又是不可量化指标．造成数据收集和确定的困难。在介绍BP算法的基础下，使用基于时间序列的BP神经网络模型对防城港货物吞吐量进行预测，该模型不仅解决影响因素多、数据难收集的问题，而且是货物吞吐量预测方法中精度很高的一种有效方法。
|
| 关 键 词： | 时间序列 BP神经网络 货物吞吐量 预测 |
Cargo Throughput Prediction of Fangcheng Port Based on BP Network |
| |
| WANG Hong-shuang,ZHANG Xin-lei,ZHU Rong-yan.Cargo Throughput Prediction of Fangcheng Port Based on BP Network[J].Logistics Management,2010,33(5):33-35. |
| |
| Authors: | WANG Hong-shuang ZHANG Xin-lei ZHU Rong-yan |
| |
| Institution: | School of Economics and Management/a>;North College of Beijing University of Chemical Technology/a>;Beijing 101601/a>;China |
| |
| Abstract: | There are many factors that influence the port throughput, and the majority of these factors is not quantifiable indicators, resulting in data collection and identification difficult. This paper, based on BP network, uses time-series- based BP network model to predict Fangchenggang cargo throughput. The model not only solves the problem of the difficulty of data collection and identification, but also is one effective method of cargo throughput. |
| |
| Keywords: | time series BP network cargo throughput forecast |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
