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多元模糊回归在害虫测报上的应用

Prediction of insect pests by application of analysis for multiple fuzzy

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【作者】 程极益苏庆玲张孝羲

【Author】 Cheng Ji-Yi; Su Qing-Ling; Zhang Xiao-Xi (Department of Plant Protection,Nanjing Agricultural Uniucrsity, 210014).

【机构】 南京农业大学植保系!210014

【摘要】 介绍了多元模糊回归(AnalysisforMultipleFuzzyRegression)害虫预测方法。建立了安徽徽州地区稻纵卷叶螟五(3)代二峰日蛾量的模糊隶属函数集。对历史资料的回代验证与独立样本的试报,结果令人满意,拟合率在90%以上。分级预报的结果比多元回归方法更为明确。

【Abstract】 From the analysis for Multiple Fuzzy Regression, the authors deduced the Fuzzy set forecasting the occurrence amount of the second peak of fifth generation for Cnaphalocrocis medinalis Guenee at Hui Zhou, in An Hui province,China. The results to test,the pest data showed that the fitting rate was over 90%, and that the accuracy of forecast was right. It is better than the multiple regression.

【关键词】 害虫预测多元模糊回归
【Key words】 insect pestsforecastmultiple fuzzy regression
  • 【文献出处】 昆虫知识 ,Entomological Knowledge , 编辑部邮箱 ,1994年02期
  • 【分类号】S433
  • 【被引频次】15
  • 【下载频次】222
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