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.
出处
《安徽农业科学》
CAS
北大核心
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)
关键词
预警
小菜蛾
ε-支持向量回归机
Forecast
Diamondback moth
ε-support Vector Regression
