摘要
灰色修正模型是改善GM(1,1)模型在背景值取值上的不足,通过加权的手段来获取背景值,通过实例,得出RGM(1,1)模型预测和模拟效果相比较GM(1,1)更好。
The correcting grey model is to improve the deficiency of grey model on obtaining background value.proposed a method by adding certain weight to getting the background value under certain condition, by the example, we obtained the correcting grey model is more better than the GM（1,1） model in forecasting and simulating.
出处
《科技信息》
2010年第7期294-294,共1页
Science & Technology Information
关键词
CM(1
1)
背景值
权
Grey model（1,1）
Background value
Weight
