摘要
以广东为例,运用GM(1,1)模型法、Holt双参数线性指数平滑法、多元线性回归模型法、平均增长法和时间序列移动平均法对其耕地数量进行预测,通过对预测结果残值的对比分析,发现移动平均法和GM(1,1)模型法具有较高的预测精度,并对各种预测方法进行了简要评价。
Taken Guangdong province as an example,Gray Model (1,1), Holt Curve Estimation and Exponential Smoothing, Multiple Linear Regression Model, Average Growth Method and Moving Average Method were employed to predict the cultivated land quantity in Guangdong Provinee. Through the comparative analysis of predictive residual, it was concluded that Moving Average Method and Gray Model (1,1) were better ways with higher accuracy. Finally, it also made a brief appraisal of the five methods.
出处
《广东农业科学》
CAS
CSCD
北大核心
2011年第19期207-210,共4页
Guangdong Agricultural Sciences
基金
教育部博士点基金(20090097110022)
湛江市科技攻关计划(2009C3112008)
关键词
耕地
预测
模型
广东
cultivated land
prediction
model
Guangdong province