›› 2002, Vol. 45 ›› Issue (4): 548-551.

• 研究论文 • 上一篇    下一篇

褐飞虱发生的相空间线性回归预测模型

许晓风1, 马飞2, 丁宗泽3, 程遐年2   

  • 出版日期:2002-08-20 发布日期:2002-08-20

A regression model of phase space for predicting brown planthopper (Nilaparvata lugens Stal ) occurrence

XU Xiao-Feng1, MA Fei2, DING Zong-Ze3, CHENG Xia-Nian2   

  • Online:2002-08-20 Published:2002-08-20

摘要: 基于混沌理论,通过对江苏省太湖地区农科所褐飞虱发生时间序列资料的分析,组建了褐飞虱Nilaparvata lugens Stal发生时间序列的相空间线性回归预测模型。结果表明,7次预报的平均相对误差为22.91%,转化为发生等级,预测准确率为100%,这为害虫的长期可预测性提供了一种有效的新方法。

关键词: 褐飞虱, 混沌, 相空间, 预测模型

Abstract: A regression model of phase space for predicting brown planthopper (BPH) occurrence in the rice growing area of Taihu District, Jiangsu Province, was established on the basis of chaos theory. Its accuracy was very high with a relative error of only 22.91%. Therefore, the model provides a new and more efficient method for the prediction of the long-term occurrence of this Insect pest.

Key words: brown planthopper (BPH), chaos, phase space, regression prediction model