摘要
本文基于气象因子,使用BP神经网络模型对内蒙古自治区科尔沁右翼前旗草原鼠害发生面积进行预测。结果表明:BP神经网络模型的预测效果良好,其精度高达91%以上,符合预测草原鼠害发生面积的业务要求。
Based on some meteorological factors,the BP neural network model was used to predict the occurrence area of grassland rodent damage in Horqin Right Front Banner of Inner Mongolia Autonomous Region. The results showed that the BP neural network model had a good prediction effect, and its accuracy rate could be more than 91%, which met the business requirements for predicting the occurrence area of grassland rodent damage.
作者
董佳音
马亮
李琨
DONG Jiayin;MA Liang;LI Kun(College of Sciences,Inner Mongolia University of Technology,Hohhot Inner Mongolia 010051)
出处
《现代农业科技》
2022年第18期73-75,83,共4页
Modern Agricultural Science and Technology
基金
内蒙古工业大学自然科学基金项目(ZZ201813)。
关键词
草原鼠害
气象因子
BP神经网络模型
发生面积
内蒙古科尔沁右翼前旗
grassland rodent damage
meteorological factor
BP neural network model
occurrence area
Horqin Right Front Banner Inner Mongolia
