Early Warning Model of Diamondback Moth Based on ε-Support Vector Regression  

基于ε-支持向量回归机的小菜蛾预警模型(英文)

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：《Plant Diseases and Pests》2010年第4期25-27,共3页植物病虫害研究（英文版）

基　　金：Supported by Science and Technology Projects in Guangdong Province(2009CD058,2009CD078,2009CD079,2009CD080)~~

摘　　要：The model for predicting vegetable pest diamondback moth was established based on E-Support Vector Regression algorithms in the multiply occurrence season of diamondback moth. The experimental data of diamondback moth in Guangdong vegetable were analyzed, and the result showed that when penalty factor c was 43, kernel function parameter k was O. 2, the better prediction result could be obtained by the early warning model of E-Support Vector Regression algorithms.The model for predicting vegetable pest diamondback moth was established based on E-Support Vector Regression algorithms in the multiply occurrence season of diamondback moth. The experimental data of diamondback moth in Guangdong vegetable were analyzed, and the result showed that when penalty factor c was 43, kernel function parameter k was O. 2, the better prediction result could be obtained by the early warning model of E-Support Vector Regression algorithms.

关 键 词：FORECAST Diamondback moth E-support Vector Regression 

分 类 号：S433.4[农业科学—农业昆虫与害虫防治]