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灰色模型GM(1,1)的一种新优化方法 被引量:87

One New Optimized Method of GM(1,1) Model
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摘要 根据灰色系统理论的新息优先原理,提出了将X(1)的第n个分量作为灰色微分模型的初始条件与优化背景值相结合的方法,对GM(1,1)模型进行了改进,改进后的模型既适用于低增长指数序列建模,也适用于高增长指数序列建模,尤其是对高增长指数序列,改进的GM(1,1)模型的模拟精度与预测精度都有提高,即使在发展系数|a|大于2时,新模型的拟合精度仍然很高. According to the new rest first principle of the grey systems theory, this article proposed that let the nth component of X( 1 ) be the initial condition of the pessimistic differential model and unify the method which optimized background value to improve the GM( 1,1 ) model. The improved model is not only suitable for the low growth index sequence model, but also suitable for the high growth index sequence model, particularly to the high growth index sequence, the simulation precision and the forecast precision of the optimized GM( 1,1 ) model has all enhanced. Even if the development coefficient is bigger than 2, the fitting precision of the new model is still high.
出处 《系统工程理论与实践》 EI CSCD 北大核心 2007年第4期141-146,共6页 Systems Engineering-Theory & Practice
基金 四川省教育厅重点资助课题(2006A077)
关键词 GM(1 1)模型 背景值 初始条件 GM ( 1,1 ) model background value initial condition
作者简介 张怡,女,四川省南充市人,硕士研究生,E-mail:zhangyi3181w@sina.com; 魏勇,男,重庆市丰都人,西华师范大学数学与信息学院教授、博士; 熊常伟,男,四川省达州市人,硕士研究生.
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