| 基于最小二乘支持向量机的中国粮食产量预测模型研究 |
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| 引用本文： | 李晓东,席升阳,潘立.基于最小二乘支持向量机的中国粮食产量预测模型研究[J].水土保持研究,2007,14(6):329-331. |
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| 作者姓名： | 李晓东 席升阳 潘立 |
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| 作者单位： | 河南科技大学,河南洛阳471003 |
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| 摘 要： | 粮食产量预测是制定农业政策的重要依据。针对农业生产系统的特征,在统计学习理论和结构风险最小化原理的基础上,建立了基于最小二乘支持向量机的时间预测模型。预测结果表明该模型具有较高的预测精度,为粮食产量预测提供了一条新的途径。
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| 关 键 词： | 粮食预测 支持向量机 最小二乘支持向量机 |
| 文章编号： | 1005-3409（2007）06-0329-03 |
| 收稿时间： | 2007-01-03 |
| 修稿时间： | 2007-01-03 |
Application of Least Squares Support Vector Machine for Forecast of China Grain Production |
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| LI Xiao-dong , XI Sheng-yang ,PAN Li.Application of Least Squares Support Vector Machine for Forecast of China Grain Production[J].Research of Soil and Water Conservation,2007,14(6):329-331. |
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| Authors: | LI Xiao-dong XI Sheng-yang PAN Li |
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| Institution: | Henan University of Science and Technology, Luoyang , Henan 471003, China |
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| Abstract: | The forecast of grain production is an important resource for establishing agriculture policy. Aimed at the character of the agriculture system, the least squares support vector machine prediction model is given based on the principle of the statistical learning theory and structural risk minimization. The result is given that the forecasting model is effective and offers a new method to forecast the grain production. |
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| Keywords: | forecast of grain production support vector machine least squares support vector machine |
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