| 基于并联型灰色神经网络模型的港口吞吐量预测方法探讨 |
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| 引用本文： | 刘晓锋,蒋惠园.基于并联型灰色神经网络模型的港口吞吐量预测方法探讨[J].水运工程,2005(10):5-7,10. |
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| 作者姓名： | 刘晓锋 蒋惠园 |
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| 作者单位： | 武汉理工大学交通学院,湖北,武汉,430063 |
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| 摘 要： | 港口吞吐量预测是港口规划的基础,在确定港口发展方向、投资规模等方面发挥着十分重要的作用,因此有必要对港口吞吐量的发展趋势做出合理的预测。结合灰色理论和神经网络模型的特点,尝试用灰色神经网络组合模型之一——并联型灰色神经网络模型进行港口吞吐量预测。用实际算例证明了该方法在港口吞吐量预测中的有效性。
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| 关 键 词： | 灰色理论 神经网络 港口吞吐量 预测方法 |
| 文章编号： | 1002-4972（2005）10-0005-03 |
| 收稿时间： | 2005-03-28 |
| 修稿时间： | 2005-03-28 |
Study on Port Throughput Forecasting Method Based on Parallel Grey Neural Network Model |
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| LIU Xiao-feng,JIANG Hui-yuan.Study on Port Throughput Forecasting Method Based on Parallel Grey Neural Network Model[J].Port & Waterway Engineering,2005(10):5-7,10. |
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| Authors: | LIU Xiao-feng JIANG Hui-yuan |
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| Institution: | College of Communications, Wuhan University of Technology, Wuhan 430063, China |
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| Abstract: | As the foundation of port planning,port throughput forecasting plays a great role in determining the orientation of port development and the scale of investment.So,it is necessary to forecast the development trend of port throughput.Combining with the characteristics of grey model and neural network model,this paper applies one of the grey neural model,i.e.parallel grey neural network model to forecast port throughput,the effectiveness of which is verified by a real case of computation. |
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| Keywords: | grey theory neural network port throughput forecasting method |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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