期刊文献+

基于岭回归模型的建成区用地规模预测

Land Area Prediction of Built-up Area Based on Ridge Regression Model
在线阅读 下载PDF
导出
摘要 以福州市2001-2013年建成区用地面积及社会经济发展各类数据为基础,利用岭回归分析对建成区用地规模的预测方程加以参数校正,重新选择变量,并再次建立新的岭回归模型。利用新建立的模型计算出2014-2017年建成区用地规模的预测值,加以验证。研究表明,模型的精度具有一定可靠性,可为福州市建成区用地规划管理提供相关建议。 Based on the data of land area and social and economic development of built-up areas in Fuzhou from 2001 to 2013,ridge regression analysis was used to correct the prediction equation of the scale of land use in built-up areas,reselect variables,and establish a new ridge regression model.The newly established model was used to calculate the predicted value of the land use scale of the built-up area from 2014 to 2017 and verify it.The research shows that the accuracy of the model has certain reliability,which can provide relevant suggestions for the planning and management of land use in built-up areas of Fuzhou.
作者 陈路明 李沛鸿 CHEN Lu-ming;LI Pei-hong(School of Architecture and Mapping&Surveying Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China)
出处 《价值工程》 2020年第9期232-233,共2页 Value Engineering
关键词 岭回归 选择变量 预测 ridge regression selection variable prediction
  • 相关文献

参考文献3

二级参考文献43

共引文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部