| 航空运量预测 |
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| 引用本文： | 敖小琴,张桥艳,孙宏.航空运量预测[J].科学技术与工程,2009,9(24). |
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| 作者姓名： | 敖小琴 张桥艳 孙宏 |
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| 作者单位： | 中国民用航空飞行学院航空运输管理管理学院,广汉,618307 |
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| 摘 要： | 分析SVM的非线性回归预测基本原理, 分别选用不同的核函数进行拟合训练预测.然后利用LIBSVM软件求解,利用Python和Gnuplot对核函数的参数寻优.把1975年到2006年全国的客运量数据和其他相关指标作为学习样本,验证寻优参数得到训练模型预测结果的可靠性.
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| 关 键 词： | 参数寻优 客运量预测 |
| 收稿时间： | 9/20/2009 9:29:14 AM |
| 修稿时间： | 2009/10/29 0:00:00 |
Airline Passenger Volume Forecast |
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| ao xiaoqin,Zhang Qiao-yan and Sun Hong.Airline Passenger Volume Forecast[J].Science Technology and Engineering,2009,9(24). |
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| Authors: | ao xiaoqin Zhang Qiao-yan and Sun Hong |
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| Institution: | College of Aviation Transportation Management, Civil Aviation Flight University of China, Guanghan,,College of Aviation Transportation Management, Civil Aviation Flight University of China, Guanghan, |
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| Abstract: | Abstract: This paper analyzes non-linear predictive theory, choosing different kinds of kernel functions to do fit training and extrapolation forecast analysis. Then use LIBSVM to solve the model, using Python and Gnuplot to find the optimal parameters. Taking the 1975-2006 National passenger traffic data and other related indicators as a learning sample, then verify the validity of the training model after Parameter Optimization. |
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| Keywords: | SVM |
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