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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]

In order to solve this problem, a new algorithm for multivariate calibration is developed by combining optimized sampling and partial least squares, where the original training samples are non-negatively weighted and the complexity and predictivity of the model are considered simutaneously.

传统的多元校正模型大多根据经验方法选择代表性样品,在某些不利的情况下可能会影响校正模型对新样品的预测性能。

A four-point algorithm is presented in this paper for finding the least-squares solution of R and T,which is based on the singular value decomposition of matrix,and the derivation of the algorithm is provided too.

本文提供一种基于矩阵单值分解求解R和T的最小二乘解的四点算法,并对算法进行了推导,该算法与迭代法相比,具有速度快、用点少的优点,尤其适用于实际应用的颅脑手术可视化系统。

This algorithm is proved to converge to a unique least-squares and minimum-norm solution vector when the control parameters satisfy the given constraint conditions.

然后,提出了将步长、罚因子等过程控制参数统一的迭代-递推形式的辨识算法,证明了算法在给定的控制参数约束下收敛于唯一的最小二乘、最小范数解向量。

The feasibility of constructing a partial least squares model with a parsimonious calibration set for NIR spectral analysis was discussed. Waveband selection was also investigated for improving the predictive ability of the model.

通过标准样品和复杂基质样品共同构建的偏最小二乘模型,考察了波段筛选和建模参数对预测结果的影响。

The paper introduces the linear combined spectral model,provides a method for analyzing complex spectral-unmixing endmember from a known spectral data set by Constrained Least Squares Method.

介绍了线性混合光谱模型,提出了一种分析复合光谱的方法通过已有的光谱数据库,利用约束最小二乘法分离出像元组份,并能计算像元组份比。

In the fitting of the actual operation, using Matlab graphics software and the use of least squares spline interpolation function is more convenient and have good results in the means.

在拟合曲线的实际操作中,借助Matlab绘图软件使用最小二乘法和三次样条插值函数是较为方便且有良好效果的手段。

On the basis of the principle of the least-squares approximation and steepest descent method and the average of the given discrete points, the space linear fitting can obtained, at the same time through a test proved the algorithm is correct.

其中空间直线拟合根据最佳平方逼近原理和最速下降法以及所给离散点的均值求得,并通过试验验证了此算法运算结果的正确性。

Second, for removing the influence, we develop the least squares method based on the stereographic projection implemented on a three-dimensional plane. It is described by the expressions:(4.35挆4.39). This method resolves some problem in Multi-sensor alignment on the same platform when the attitude errors are relatively small.

其次为了克服基于二维区域性平面中立体投影所产生的影响,本文推导了基于三维立体投影的最小二乘配准算法,其实现过程见式4.35~4.39,在传感器姿势误差较小的情况下,此算法解决了基于同一平台的多传感器配准中存在的问题。

Firstly, least-squares solution for the inverse problem of real matrices with a submatrix constraint is proposed.

研究了子阵约束下实矩阵反问题的最小二乘问题。

Finally, least-squares solution for the inverse problem of bisymmetric matrices with a submatrix constraint is proposed.

研究了子阵约束下双对称矩阵反问题的最小二乘问题。

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