摘要
提出一种基于GM(1,1)的灰预测模型,该模型不仅适用于满足线性函数关系的运动对象,而且能很好地支持自由运动对象,并在采样数据存在一定误差的情况下,可以很好地控制误差的传播,保持较高的预测精度.实验证明该模型相比于现有的线性预测模型具有更好的预测性能.
A novel grey prediction model based on GM(1,1)is presented.The grey prediction model is not only suitable for moving objects based on linear functions but also providing good support for free moving objects.In ad-dition,the grey prediction model can effectively control error propagation in circumstances of existing sampling error and ensure high prediction precision.The experimental results show the proposed grey prediction model has better prediction performances than the existing linear prediction models.
出处
《天津师范大学学报(自然科学版)》
CAS
北大核心
2010年第4期30-33,45,共5页
Journal of Tianjin Normal University:Natural Science Edition
基金
天津市自然科学基金资助项目(08JCYBJC12400)
中小企业创新基金资助项目(08ZXCXGX15000)