| 基于支持向量机的温室环境智能控制模型 |
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| 引用本文： | 杨枢,郭茂龙.基于支持向量机的温室环境智能控制模型[J].安徽农业科学,2010,38(21):11506-11507,11547. |
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| 作者姓名： | 杨枢 郭茂龙 |
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| 作者单位： | 1. 蚌埠医学院计算机系,安徽蚌埠,233030
2. 中国电子科技集团公司第四十一研究所,安徽蚌埠,233000 |
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| 基金项目： | 安徽省高校自然科学研究项目，安徽省高校优秀青年人才基金项目 |
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| 摘 要： | 提出一种温室环境智能控制模型。该模型从模式识别的角度解决温室环境最优控制问题。具体算法是根据作物生长模型、当前外界环境条件等,创建温室环境控制目标;对控制目标与温室内外环境条件的差值等特征参数模糊化;通过支持向量机的多分类方法进行分类决策,选择适宜的温室环境调控措施,达到对温室环境最优控制的目的。将采用该模型的温室环境控制系统应用于安徽蚌埠地区的Venlo温室。结果表明,该系统具有良好的控制效果。
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| 关 键 词： | 温室环境 智能控制 支持向量机 |
Model of Greenhouse Environment Control Based on Support Vector Machine |
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| Institution: | YANG Shu et al(Computer Science Department,Bengbu Medical College,Bengbu,Anhui 233030) |
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| Abstract: | A method of greenhouse environment control was presented based on the aspect of pattern recognition to realize optional control of greenhouse environment.The control targets of current greenhouse environment were created based on greenhouse crop growth model and greenhouse environmental conditions.The characteristic parameters such as the difference of the control targets and greenhouse environmental parameters were fuzzed.Using multi-class support vector machine(SVM),some proper greenhouse environmental control measures were chosen to realize optional control of greenhouse environment.The method was verified case of some Venlo greenhouse in Bengbu City,Anhui Province.The experimental results showed that the method could obtain good control effect. |
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| Keywords: | Greenhouse environment Intelligent control Support vector machine(SVM) |
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