| 基于GNNM(1.1)模型的货运量及货运周转量预测 |
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| 引用本文： | 陈皓,李忠. 基于GNNM(1.1)模型的货运量及货运周转量预测[J]. 价值工程, 2011, 30(10): 10-11 |
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| 作者姓名： | 陈皓 李忠 |
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| 作者单位： | 1. 西南交通大学交通运输学院,成都,610031
2. 上海铁路局无锡站业务科,无锡,214000 |
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| 摘 要： | 通过各种算法对货运指标进行有效预测,对于把握未来货运发展趋势有着非常重要的作用。文章将灰色预测与神经网络预测方法进行了有机结合,建立了一个基于灰色神经网络的预测(GNNM)模型。通过模型对货运量及货运周转量进行了预测,得到了较满意的结果,表明了模型具有较高的可靠性及实用性。
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| 关 键 词： | 铁路货运 预测模型 灰色神经网络 |
Forecasts of Cargo and Freight Turnover Volume Based on GNNM(1.1) Model |
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| Chen Hao,Li Zhong. Forecasts of Cargo and Freight Turnover Volume Based on GNNM(1.1) Model[J]. Value Engineering, 2011, 30(10): 10-11 |
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| Authors: | Chen Hao Li Zhong |
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| Affiliation: | ① Chen Hao;② Li Zhong(① College of Traffic and Transportation,Southwest Jiaotong University,Chengdu 610031,China; ②Shanghai Railway Station Wuxi Operations Section,Wuxi 214000,China) |
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| Abstract: | It is very important to predict the indicators of freight by a variety of algorithms for grasping the freight trends in the future.This article combines the methods of grey prediction and neural network forecast,and establishes a GNNM model based on the gray neural network,which has high reliability and practicality obtained from the satisfactory results of the prediction. |
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| Keywords: | railway freight prediction model gray neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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