基于ε-支持向量回归机的小菜蛾预警模型  

Forecast of Diamondback Moth Based on ε-Support Vector Regression

作　　者：宋婷婷[1] 崔英玲[1] 冯德军[1] 杨敬锋 

机构地区：[1]日照职业技术学院,山东日照276826 [2]广东瑞图万方科技股份有限公司,广东顺德528305 [3]广东融讯信息科技有限公司,广东广州510656

出　　处：《安徽农业科学》2010年第23期12528-12529,共2页Journal of Anhui Agricultural Sciences

基　　金：广东省科技计划项目(2009CD058;2009CD078;2009CD079;2009CD080)

摘　　要：基于ε-支持向量回归机算法建立了小菜蛾在多发季节的预测模型,通过对广东省蔬菜小菜蛾试验数据进行分析,结果表明,在选择惩罚因子c为43、核函数参数κ为0.2的情况下,ε-支持向量回归机预警模型取得了较好的预测结果。The model for predicting vegetable pest diamondback moth was established based on ε-Support Vector Regression algorithms in the frequently-occurring seasons. The experimental results of Guangdong vegetable pest diamondback moth showed that,when penalty factor for the 43 and kernel parameter for the 0.2 has chosen,a high forecast accuracy could be obtained by ε-Support Vector Regression algorithms.

关 键 词：预警 小菜蛾 ε-支持向量回归机 

分 类 号：S436.3[农业科学—农业昆虫与害虫防治]