| 基于RBF神经网络的公路货运量预测方法研究 |
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| 引用本文： | 魏艳强,刘海琳,宁红云. 基于RBF神经网络的公路货运量预测方法研究[J]. 天津理工大学学报, 2008, 24(1): 17-20 |
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| 作者姓名： | 魏艳强 刘海琳 宁红云 |
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| 作者单位： | 天津理工大学,计算机科学与技术学院,天津,300191 |
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| 基金项目： | 天津市自然科学基金(043600511)，天津市高等学校科技发展基金(20030618) |
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| 摘 要： | 本文提出了一种基于RBF神经网络的直接预测法,对公路货运量进行了预测,并利用matlab工具箱予以了实现.对2004和2005年公路货运量预测的结果表明,预测值与国家统计局公布的实际数值有很好的一致性,预测精度也高于其它RBF预测法,有很好的应用性.
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| 关 键 词： | RBF神经网络 直接预测法 公路货运量 预测 |
| 文章编号： | 1673-095X(2008)01-0017-04 |
| 修稿时间： | 2007-09-03 |
Measurement study of highway transportation volume forecast based on RBF neural network |
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| WEI Yan-qiang,LIU Hai-lin,NING Hong-yun. Measurement study of highway transportation volume forecast based on RBF neural network[J]. Journal of Tianjin University of Technology, 2008, 24(1): 17-20 |
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| Authors: | WEI Yan-qiang LIU Hai-lin NING Hong-yun |
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| Abstract: | This paper provides a direct forecast methods based on RBF neural network,which predicted highway transportation volume and accomplishsd it by using matlab workbox.The forecast result of highway transportation volume in 2004 and 2005 show it matched the real figure announced by National Statistic Bureau perfectly,The result forecasted by this method is more accurate than that forecasted by other RBF methods,the direct forecast methods have good practical value. |
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| Keywords: | RBF neural network direct forecast methods highway transportation volume forecast |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
