摘要
针对隐含动态系统特征的关联多因子灰色系统,提出了SCGM(1,h)_c残差修正预测模型.将该模型用于柳州市总体规划,对相互关联的社会总产值、工业总产值和农业总产值进行了预测.结果表明,模型精度高、适应性强,预测效果令人满意.
Uncertainty systems are found everywhere. The forecasting problem is the key to the study of uncertainty systems, of which the system with correlated multifactors is the most difficult. A SCGM(1, h)c-forecasting model with residual error modification based on grey systems with correlated multifactors that imply dynamic characteristics is presented. The model has been applied to forecasting 'gross societal output Value', 'gross industrial output value' and 'gross agricultural output value' in the overall urban planning of Liuzhou City. The results are found to be satisfactory.
出处
《华中理工大学学报》
CSCD
北大核心
1993年第3期42-46,共5页
Journal of Huazhong University of Science and Technology
关键词
灰色系统
残差修正预测
城市规划
grey system
system cloud
overall urban planning
grey forecasting
forecasting with residual error modification
