| 基于小波的能源消费弹性系数预测方法 |
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| 引用本文： | 孙晋众,林健.基于小波的能源消费弹性系数预测方法[J].沈阳航空工业学院学报,2007,24(3):78-80,68. |
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| 作者姓名： | 孙晋众 林健 |
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| 作者单位： | 1. 北京航空航天大学经济管理学院,北京,100083;五邑大学管理学院,广东,江门,529020
2. 五邑大学管理学院,广东,江门,529020 |
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| 摘 要： | 能源消费弹性系数反映了一个国家能源消费增长速度与国民经济增长速度之间的比例关系,是衡量一个国家能源利用效率的重要指标。鉴于数据中存在较多的噪声,首先用小波分析方法对数据进行滤波,然后用滤除了噪声的数据作为输入变量,用支持向量回归方法建模,并预测未来10年我国能源消费弹性系数变化的规律。实际数据检验表明,该预测方法还是可行的。
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| 关 键 词： | 支持向量回归 统计学习理论 小波分析 能源消费弹性系数 |
| 文章编号： | 1007-1385（2007）02-0078-03 |
| 收稿时间： | 2006-12-13 |
| 修稿时间： | 2006-12-13 |
Elasticity coefficient prediction method of energy resource consumption based on SVR technology |
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| SUN Jin-zhong,LIN Jian.Elasticity coefficient prediction method of energy resource consumption based on SVR technology[J].Journal of Shenyang Institute of Aeronautical Engineering,2007,24(3):78-80,68. |
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| Authors: | SUN Jin-zhong LIN Jian |
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| Institution: | 1. School of Management, Beihang University ,Beijing 100083 ; 2. School of Management,Wuyi University, Guangdong Jiangmen 529020 |
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| Abstract: | Elasticity coefficient of energy resource consumption reflects the increasing rate proportional relations between energy resource consumption and national economy development in a country,which is an important index used to measure the utilization effect of energy resource.Considering the "noises" existed in the accumulated datum,this paper erases the noises by wavelet transform first,then builds the SVR model based on processed datum,and at the end, predicts the elasticity coefficients of energy resource consumption during the nearest 10 years.The demonstration analysis illustrates that the prediction method is completely feasible. |
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| Keywords: | support vector regression statistical learning theory wavelet transform elasticity coefficient of energy resource consumption |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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