南京农业大学学报2001，Vol.24Issue(2)：53-56,4.
褐飞虱长期预测因子的选择与模型的组建
Selection of predictors for long-term occurence forecast of Nilaparvata lugens(BPH)and model construction
马飞 1程遐年 1张夕林2
作者信息
- 1. 南京农业大学农业部
- 2. 江苏通州市植保站,
- 折叠
摘要
Abstract
Three new methods for selection of the predictors are advanced as nonlinear stepwise regression,nonlinear stepwise regression with principal component and nonlinear stepwise regression with rotated principal component.The test results show that the forecasting model constructed with the predictors selected by nonlinear stepwise regression with principal component has the highest skill score of forecast for Brown Planthopper(BPH).The forecasting accuracy is 80 percent.关键词
褐飞虱/因子选择/主分量非线性逐步回归/非线性逐步回归/旋转主分量非线性逐步回归分类
农业科技引用本文复制引用
马飞,程遐年,张夕林..褐飞虱长期预测因子的选择与模型的组建[J].南京农业大学学报,2001,24(2):53-56,4.
