| 基于小波神经网络模型的中国能耗预测 |
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| 引用本文： | 周仲礼,冯文新,龚灏,雍自权,刘树根. 基于小波神经网络模型的中国能耗预测[J]. 成都理工大学学报(自然科学版), 2005, 32(5): 544-547 |
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| 作者姓名： | 周仲礼 冯文新 龚灏 雍自权 刘树根 |
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| 作者单位： | 成都理工大学信息管理学院,成都,610059;郑州工业贸易学校,郑州,450007;成都理工大学能源学院,成都,610059 |
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| 摘 要： | 通过中国能源消费数据分析,结合小波分析与神经网络理论方法,建立了相应的中国能耗的小波神经网络模型,对中国能源消费增长率进行了预测,并以此预测出未来中国能源消费需求总量.通过实际数据与预测数据的统计分析表明,小波神经网络模型的预测结果有较高的精度,对中国能源消费需求总量的预测有较高的可信度.
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| 关 键 词： | 能耗 预测 小波分析 神经网络 |
| 文章编号： | 1671-9727(2005)05-0544-04 |
| 收稿时间： | 2005-03-25 |
| 修稿时间： | 2005-03-25 |
Forecast of the energy consumption in China achieved through microwave neural network |
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| ZHOU Zhong-li,FENG Wen-xin,GONG Hao,YONG Zhi-quan,LIU Shu-gen. Forecast of the energy consumption in China achieved through microwave neural network[J]. Journal of Chengdu University of Technology: Sci & Technol Ed, 2005, 32(5): 544-547 |
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| Authors: | ZHOU Zhong-li FENG Wen-xin GONG Hao YONG Zhi-quan LIU Shu-gen |
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| Abstract: | By employing microwave and neural network,this paper analyses the energy consumption data of China and sets up a microwave neural network model of China's energy consumption which is instrumental in predicting the potential energy consumption of China.After a comparison between the real data and the predicted data,this paper safely concludes that the predicted result by the microwave neural network model has quite high accuracy and enjoys a very high reliability for the total potential China energy consumption demand. |
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| Keywords: | energy consumption prediction microwave analysis neural network |
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