摘要
针对GM(1,1)模型对随机波动性较大的数据列拟合较差,预测精度低的缺点,提出了基于小波理论的灰色动态组合模型,结合实测数据的研究表明,该模型预测精度远高于单一的灰色模型。
The GM (1,1) model has poor fitting and prediction accuracy about the comparatively large random fluctuations data, to solve this problem, we propose Gray Dynamic Combination Model Based on Wavelet in this paper. The example shows the forecast accuracy of this model is higher then single GM(1,1) model..uction in hilly regions.
出处
《企业技术开发》
2010年第1期41-43,共3页
Technological Development of Enterprise