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Stability of GM(1,1) power model on vector transformation

机译:矢量变换的GM(1,1)幂模型的稳定性

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The morbidity problem of the GM(1,1) power model in parameter identification is discussed by using multiple and rotation transformation of vectors. Firstly we consider the morbidity problem of the special matrix and prove that the condition number of the coefficient matrix is determined by the ratio of lengths and the included angle of the column vector, which could be adjusted by multiple and rotation transformation to turn the matrix to a well-conditioned one. Then partition the corresponding matrix of the GM(1,1) power model in accordance with the column vector and regulate the matrix to a well-conditioned one by multiple and rotation transformation of vectors, which completely solve the instability problem of the GM(1,1) power model. Numerical results show that vector transformation is a new method in studying the stability problem of the GM(1,1) power model.
机译:通过向量的多重变换和旋转变换,讨论了GM(1,1)幂模型在参数识别中的发病问题。首先,我们考虑特殊矩阵的发病问题,证明系数矩阵的条件数由列向量的长度比和夹角确定,可以通过倍数和旋转变换进行调整,将矩阵转换为一个条件良好的。然后根据列向量对GM(1,1)幂模型的对应矩阵进行划分,并通过向量的多次旋转变换将矩阵调整为条件良好的矩阵,完全解决了GM(1)的不稳定性问题,1)功率模型。数值结果表明,矢量变换是研究GM(1,1)幂模型稳定性问题的一种新方法。

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