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least squares相关的网络例句

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与 least squares 相关的网络例句 [注:此内容来源于网络,仅供参考]

The inverse of condition number is recommended as a good a priori criterion for choosing response positions in least squares approach.

条件数的倒数在最小二乘法响应点的选取时可作为优选的先验判据,归一化残差可作为估算质量的后验判据。

By the delta matrix inverse lemma, the delta operator recursive least squares algorithm is derived, and convergence about DRLS is also proved.

基于Delta算子矩阵求逆引理,导出Delta算子最小二乘估计的递推算法,证明了DRLS的收敛性。

The multiples will be predicted with the spatial convolution between the original record and the initially estimated value of primary reflection or the seismic record itself. The multiples were scaled using the inverse of the surface operator obtained from the inversion by using the least-squares criterion.

首先通过原始记录与一次波的初始估计值的空间褶积预测多次波,再用最小能量准则反演求得的表层运算元的逆来标定多次波,最后从原始记录中将多次波消除。

The multiples will be predicted with the spatial convolution between the original record and the initially estimated value of primary reflection or the seismic record itself. The multiples were scaled using the inverse of the surface operator obtained from the inversion by using the least - squares criterion.

首先通过原始记录与一次波的初始估计值的空间褶积预测多次波,再用最小能量准则反演求得的表层算子的逆来标定多次波,最后从原始记录中将多次波消除。

An adaptive inverse control method based on Least Squares support vector machine is studied in this paper.

本文主要针对基于最小二乘支持向量机的自适应逆控制方法进行了研究。

Parameter imaging is equivalent to the result of the first step iteration in linear least squares inversion.

在Born近似和线性反演的统一框架下,指出参数成像、线性反演和非线性拟合反演是反演的三个层次。

More and more people have been attracted in this research field. Theoretically, a least squares problem in matrix form can be rewritten in vector form by Kronecker product.

如在众多领域中拥有广泛应用的Sylvester方程,Lvapunov方程和带各种约束的"逆特征值问题"及其最小二乘问题等。

In chapter 3 we further analyze the Moore-Penrose inverse of Kronecker product of A and B and the linear least squares problems involving Kronecker product, then obtain normwise mixed and componentwise condition numbers and the upper bounds similarly.

在第三章中我们进一步在列满秩情形下,对A与的Kronecker积的Moore-Penrose逆和带Kronecker积的线性最小二乘问题做了分析,同样得出了范数型,混合型和分量型这三种条件数及其上界。

To overcome the shortages of the traditional least squares algorithms that require error follow zero mean valued and homo-skedastcity normal distribution, a L(subscript ∞) identification method is presented.

针对传统的最小二乘辨识算法要求误差遵循零均值、同方差的正态分布等不足,提出了L参数辨识算法。

Romberg first use of the method is integral for integration, Then the results obtained by using the interpolation method were obtained Lagrange polynomial interpolation polynomial interpolation and Newton, re-use of least squares fitting of thinking obtained polynomial, the last of these different types of polynomial, identify their respective strengths and weaknesses.

首先运用Romberg积分方法对给出定积分进行积分,然后对得到的结果用插值方法,分别求出Lagrange插值多项式和Newton插值多项式,再运用最小二乘法的思想求出拟合多项式,最后对这些不同类型多项式进行比较,找出它们各自的优劣。

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