摘要
针对粮食产量预测精度差和波动大的问题,结合灰色系统和多元线性回归模型,提出了一种灰色多元线性回归模型。利用该模型对南宁市的粮食产量进行了预测。结果表明,灰色多元线性回归模型的预测精度要高于单一的灰色系统或多元线性回归模型。
Aiming at the problems of bad accuracy and great fluctuation of grain yield forescasting,combined with gray system and multivariable linear regression forecasting models,a kind of gray multivariable linear regression model was put forward.Using this model,grain production in Nanning City was forecasted.The results showed that forecasting precision of gray multivariable linear regression model was higher than single gray system or multivariable linear regression model.
出处
《安徽农业科学》
CAS
北大核心
2010年第16期8281-8282,共2页
Journal of Anhui Agricultural Sciences
基金
湖南人文科技学院教学改革研究项目(RKJGY0948)
关键词
灰色系统
多元线性回归
粮食产量
预测
Grey system
Multivariable linear regression
Grain yield
Forecasting
