| 基于支持向量回归机的广西物流需求预测 |
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| 引用本文： | 黄毅,夏国恩.基于支持向量回归机的广西物流需求预测[J].科技管理研究,2011,31(2). |
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| 作者姓名： | 黄毅 夏国恩 |
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| 作者单位： | 广西财经学院工商管理系,广西南宁,530003 |
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| 基金项目： | 教育部科学技术研究重点项目，广西哲学社会科学"十一五"规划2008年度项目 |
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| 摘 要： | 传统的区域物流需求预测方法往往具有预测精度不高、数据处理效果不佳等不足,而基于支持向量回归机(SVR)的预测模型正好弥补其不足.基于SVR预测模型,以1985-2008年广西货运量为面板数据,选择合适的核函数及参数,并与灰色及一元回归预测方法相对比,发现其预测精度很高,预测值也吻合广西总体经济发展要求.
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| 关 键 词： | 物流需求 预测 |
Guangxi Logistics Demand Forecasting Based On SVR |
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| HUANG Yi,XIA Guoen.Guangxi Logistics Demand Forecasting Based On SVR[J].Science and Technology Management Research,2011,31(2). |
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| Authors: | HUANG Yi XIA Guoen |
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| Institution: | HUANG Yi,XIA Guoen(Department of Business Administration,Guangxi University of Finance and Economics,Nanning 530003,China) |
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| Abstract: | There are some defects in traditional regional logistics demand forecasting methods,such as the low forecasting accuracy,not optimal or insufficient data processing and so on,while the forecasting model based on support vector regression(SVR) could remedy them.Using the SVR forecasting model and the panel data from Guangxi freight volume 1985-2008 and selecting the appropriate kernel functions and parameters,the highest forecasting accuracy is found,after compared to Grey and Unary Regression methods.And fo... |
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| Keywords: | SVR |
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