节点文献
反向累加生成与灰色GOM(1,1)模型的优化
Grey opposite-direction accumulated generating and optimization of GOM(1,1) model
【摘要】 相对传统累加生成,分析了反向累加生成,并结合反向累加生成的特点,改进了传统GOM(1,1)模型背景值的计算方法,给出了灰色GOM(1,1)模型参数求解的优化方法.具体算例的计算表明,这种方法能够提高GOM(1,1)模型的预测精度,验证了该方法的有效性与实用性.
【Abstract】 Compared to traditional accumulated generating,analysis the opposite-direction accumulated generating,and with the characteristics of opposite-direction accumulated generating,improve the calculation method of background value of traditional GOM(1,1) model,one optimized method of parameter solution of GOM(1,1) model is presented in this paper.Examples show that the method in this paper can improve the prediction precision of the GOM(1,1) model,so the effectiveness and practicability of this method is proved.
【关键词】 反向累加生成;
GOM(1,1);
背景值;
优化;
【Key words】 grey opposite-direction accumulated generating; GOM(1,1); background value; optimization;
【Key words】 grey opposite-direction accumulated generating; GOM(1,1); background value; optimization;
【基金】 国家自然科学基金(70473037);南京航空航天大学科研创新基金(Y0811-091)
- 【文献出处】 系统工程理论与实践 ,Systems Engineering-Theory & Practice , 编辑部邮箱 ,2009年08期
- 【分类号】N941.5
- 【被引频次】66
- 【下载频次】589