| 基于BP神经网络的港口吞吐量预测模型——钦州港的实证研究 |
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| 引用本文： | 江志娟. 基于BP神经网络的港口吞吐量预测模型——钦州港的实证研究[J]. 物流科技, 2014, 0(1): 56-59 |
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| 作者姓名： | 江志娟 |
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| 作者单位： | 钦州学院商学院,广西钦州535000 |
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| 基金项目： | 钦州学院科研资助项目,项目编号：2012XJKY-30B. |
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| 摘 要： | 港口吞吐量的预测是港口决策的重要依据,然而影响港口吞吐量的要素较多,且各要素之间存在着复杂的非线性关系,使常用的预测方法难以取得好的预测效果。文章试图运用BP人工神经网络的方法,采集1999~2012年的实际数据样本,以钦州港为例进行实证分析,构建三层BP神经网络,预测2013年钦州港港口吞吐量。
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| 关 键 词： | 系统工程 港口吞吐量 BP神经网络 预测模型 钦州港 |
Prediction Model of Port Throughput Based on BP Neural Network --.The Empirical Research on Qinzhou Port |
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| JIANG Zhi-juan. Prediction Model of Port Throughput Based on BP Neural Network --.The Empirical Research on Qinzhou Port[J]. Logistics Management, 2014, 0(1): 56-59 |
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| Authors: | JIANG Zhi-juan |
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| Affiliation: | JIANG Zhi-juan (College of Business, Qinzhou University, Qinzhou 535000, China) |
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| Abstract: | The forecast of port throt, ghput is an important basis for decision-making of port, however there many factors influenet the port throughput, and the complex nonlinear relationship existed between each element and each element, which make the usual prediction methods obtain good prediction effect difficulty. Applying the method of artificial neural network, through the ac- tual data of 1999-2012 samples to do the empirical analysis, constnlct the three layers BP neural network, and predict the Qinzhou port throughput in 2013. |
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| Keywords: | systems engineering： port throughput BP neural network： prediction model： Qinzhou port |
| 本文献已被 CNKI 维普 等数据库收录！ |
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