基于Elman神经网络的气温预测研究 |
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引用本文: | 王芳,涂春丽,勾永尧. 基于Elman神经网络的气温预测研究[J]. 安徽农业科学, 2011, 39(33): 20859-20860 |
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作者姓名: | 王芳 涂春丽 勾永尧 |
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作者单位: | 1. 西南科技大学经济管理学院,四川绵阳,621010 2. 重庆师范大学经济管理学院,重庆,400030 |
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摘 要: | [目的]建立预测气温动态变化的Elman神经网络模型。[方法]参考温度的固有特性,应用1951~2010年的重庆温度数据,采用Elman人工神经网络模型对温度进行预测估计。[结果]实证仿真结果表明,模型的相对误差较小,能够对未来气温变化进行较好的模拟。[结论]该模型预测结果可以用于指导农业生产,并可以进一步应用到天气衍生品定价等领域。
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关 键 词: | 气温预测 Elman神经网络 农业生产 |
Research on Temperature Forecasts Based on Elman Neural Network |
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Affiliation: | WANG Fang et al(College of Economics and Management,Southwest University of Science and Technology,Mianyang,Sichuan 621000) |
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Abstract: | [Objective] The aim was to establish Elman neural network model to predict the dynamic changes of temperature.[Method] Considering the inherent nature of temperature,and by dint of the temperature in Chongqing during 1951-2010,the Elman artificial neural network model was applied to predict the temperature.[Result] This simulation result suggested that the relative error was small and can have a good simulation to the future temperature changes.[Conclusion] The prediction result can guide agricultural production and further apply to the field of pricing the weather derivative products. |
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Keywords: | Temperature forecasts Elman neural network Agricultural production |
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