摘要
目的:怎样建立非等距序列的最佳数学模型.方法:讨论用灰色系统GM(1.1)模型和非线性回归方法建立非等距序列的数学模型的过程,找出产生问题的原因,寻求解决问题的方法.结果:接近于指数规律变化的非等距序列,用非线性回归方法建立的数学模型比用灰色系统GM(1.1)模型方法建立的数学模型的精度高;对于其他的非等距序列,用灰色系统GM(1.1)模型方法建立的数学模型比用非线性回归方法建立的数学模型的精度高.结论:在建立非等距序列的数学模型时,采用灰色系统GM(1.1)模型方法与非线性回归方法结合的策略,可以得到较佳的数学模型.
Objective: How to set up the best mathematical model of non-equidistance sequence. Methods: By discussing procedure that the grey system GM(1.1) model method and the non-linear regression method set up mathematical model, find reason of produce problem and find method that solve problem. Result: For the non-equidistance sequence that is close to exponential function, the non-linear regression method has done better than the grey system GM (1. 1) model method; for the non-equidistance sequence that is not close to exponential function, the grey system GM (1. 1) model method has done better than the non-linear regression method. Conclusion: In setting up mathematical model for the non-equidistance sequence, we could get better mathematical model by taking the grey system GM(1.1) model method and the non-linear regression method together.
出处
《数学的实践与认识》
CSCD
北大核心
2007年第18期50-56,共7页
Mathematics in Practice and Theory
关键词
数据处理
数学模型
灰色模型
非线性回归
data processing
mathematical model grey model
non-linear regression