数学杂志Issue(4)：957-962,6.
基于数据变换的优化GM（1,1）模型
OPTIMIZED GM (1,1) MODEL BASED ON DATA TRANSFORMATION TECHNOLOGY
摘要
Abstract
In this paper, we study the accuracy of grey GM (1,1) forecasting model im-provement. Using the composite function transformation to deal with the original data sequence, and optimizing the background value and initial value of the model, we obtain a grey forecasting model which has a higher prediction accuracy than single condition improvement GM (1,1)model. The study extends the scope of GM (1,1) forecasting model.关键词
灰色理论/GM (1,1)模型/数据变换/初始条件/背景值Key words
grey theory/GM (1,1) model/data transformation/initial condition/back-ground value分类
数理科学引用本文复制引用
汤旻安,李滢..基于数据变换的优化GM（1,1）模型[J].数学杂志,2015,(4):957-962,6.基金项目
国家自然科学基金资助(61263004) （61263004）
甘肃省科技支撑计划项目基金资助(090GKCA009 （）
1304GKCA023) （）
兰州市科技攻关计划项目基金资助(2013-4-18) （2013-4-18）
