BP神经网络模型在甘蔗绵蚜虫发生发展气象等级预报中的应用研究  

Study on the Meteorological Grade for the Development of Sugarcane Aphid in Guangxi with the BP Neural Network

作　　者：欧钊荣[1] 谭宗琨[1] 苏永秀[1] 

机构地区：[1]广西壮族自治区气象减灾研究所,广西南宁530022

出　　处：《安徽农业科学》2008年第21期9141-9143,9152,共4页Journal of Anhui Agricultural Sciences

基　　金：中国气象局2007年多轨道业务建设项目资助

摘　　要：根据广西甘蔗绵蚜虫发生发展气象生理指标和绵蚜虫历年发生情况资料,建立了误差反传前向网络(BP神经网络)预报模型,模型模拟结果显示,BP神经网络预报模型的拟合精度和预报精度都比较高。According to the meteorological and physiological indexes for the development of the sugarcane aphid and the information on its happening condition for many years,we back-looked up the corresponding meteorological data to obtain the predication index of meteorological grade for the development of sugarcane aphid.With these indexes as the predication factors,the predication model based on the error BP neutral network was established.The results showed that the precision of BP neutral network for supervision and predication were satisfied.

关 键 词：BP神经网络 甘蔗 绵蚜虫 气象等级预报 

分 类 号：S431[农业科学—农业昆虫与害虫防治]