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| 基于神经网络的集装箱运量预测 | |
| 引用本文： | 王晓强,张爱玲,曲永岗.基于神经网络的集装箱运量预测[J].河海大学学报(自然科学版),1999,27(4):64-67. |
| 作者姓名： | 王晓强 张爱玲 曲永岗 |
| 作者单位： | 1. 河海大学港口航道及海岸工程学院,南京,210098 2. 国家科委核安全中心,北京,100088 3. 河海大学研究生部,南京,210098 |
| 摘 要： | 概述了神经网络的有关理论。研究了神经网络结构设计的步骤，方法及应注意的问题，应用神经网络技术对上海港集装箱运量进行了预测，并与灰色预测结果进行了比较。结果表明ＢＰ网络的预测精度高，是解决高度非线性系统预测问题的有种有效的方法。 |
| 关 键 词： | 神经网络 集装箱 预测 灰色模型 |
| 修稿时间： | 1998－06－16 |
Container Flow Prediction Based on Neural Network Technology |
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| Wang Xiaoqiang,Zhang Ailing,Qu Yonggang.Container Flow Prediction Based on Neural Network Technology[J].Journal of Hohai University (Natural Sciences ),1999,27(4):64-67. | |
| Authors: | Wang Xiaoqiang Zhang Ailing Qu Yonggang |
| Abstract: | Some theories about neural network technology are briefly reviewed and recapitulated. The methods of structual design of neural network and some relevent problems are studied in detail. The neural network technology is used to predict the container flow at Shanghai Harbour and the obtained result is compared with that from the Grey model. It is indicated that the BP network method is of high precision and is a very effective way in solving nonlinear system problems. |
| Keywords: | neural network container flow prediction grey model |
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