摘要
灰色GM(1.1)模型适合少量数据的系统预测.当随时间序列的数据只有少量几个,无法采用统计和其他的预测方法时,它作为一种少数据的系统预测十分有效.将1999-2003年5年中的邯郸的城镇化水平作为灰色预测的原始数据,建立邯郸市城镇化水平灰色预测模型,并采用残差估计进行模型检验.成功地建立了邯郸市城镇化水平灰色预测模型.
Gray model GM（1.1） is fitting to the system forecast with a few date. With a few date, there can not be using the statistic and other forecast ways. It is a effective method to these. Use the urhanization date of the HANDAN from 1999 - 2003, and propose the HANDAN urbanization gray forecast model. And then we make a proof-test using the difference estimate. It is successful to set up the model.
出处
《数学的实践与认识》
CSCD
北大核心
2009年第8期35-43,共9页
Mathematics in Practice and Theory
