| 温室环境的支持向量机回归建模 |
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| 引用本文： | 王定成.温室环境的支持向量机回归建模[J].农业机械学报,2004,35(5):106-109. |
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| 作者姓名： | 王定成 |
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| 作者单位： | 中国农业大学现代精细农业系统集成研究教育部重点实验室,博士后,100083,北京市 |
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| 基金项目： | 北京市“十五”攻关项目 (项目编号 :H0 2 0 72 0 0 3 0 5 3 0 )，国家自然科学基金资助项目 (项目编号 :60 3 740 3 0 ) |
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| 摘 要： | 温室气候是一个复杂的动态系统，传统的建模方法很难建立精确有效的温室气候模型。本文引入一种支持向量机回归建模方法来建立温室气候模型，这种方法根据历史数据建立气候模型，并用当前数据检验修正模型。对实际温室数据进行了建模实验，取得了较好的效果。
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| 关 键 词： | 温室环境 支持向量机 回归建模 数学模型 动态系统 |
| 修稿时间： | 2003年12月10 |
SVM Regression Modeling for Greenhouse Environment |
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| Wang Dingcheng.SVM Regression Modeling for Greenhouse Environment[J].Transactions of the Chinese Society of Agricultural Machinery,2004,35(5):106-109. |
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| Authors: | Wang Dingcheng |
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| Institution: | China Agricultural University |
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| Abstract: | Greenhouse weather is a complex dynamic system, whose mathematical model usually is not precious and even invalid if built by the classical modeling methods. Therefore, a modeling method by using support vector machines (SVM) regression is presented. The models of greenhouse weather were established according to the history data, and then were modified and corrected on line using the current data. A model for a practical greenhouse was built by the method and the results from the model were tested. The method was proved to be good in modeling of a greenhouse. |
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| Keywords: | Greenhouse Support vector machines Regression Mathematical model |
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