用迭代最小二乘法求解使用局部运动矢量和运动模型建立的线性参数系统获得全局平移、旋转及缩放运动参数。
Then a linear system is constructed from these local motion vectors and solved to determine the global motion parameters which are refined by the motion iteration process.
基于输出层函数为线性函数的三层前馈神经网络，结合自适应步长和动量解耦的伪牛顿算法及迭代最小二乘法导出了一种混合算法。
On the basis of both adaptive BP algorithm and Newtons method, Quasi Newton algorithm with adaptive decoupled step and momentum (QNADSM) for feed-forward neural networks is derived.
用线性最小二乘法、迭代法以及二分法与最小二乘法相结合的方法，以积分方程、微分方程和放热速率方程拟合dsc数据。
The DSC data obtained are fitted to the integral, differential and exothermic rate equations by linear least-squares, iterative, combined dichotomous and least-squares methods, respectively.
利用弯曲法进行有倾角的层状介质的两点射线追踪，并采用改进的阻尼最小二乘法迭代求解。
Using the bent method , we do two point ray tracing in dipping layered media and have acquired solutions iteratively with the improved Marquardt least square .
给出了加权最小二乘法的迭代计算公式和误差估计公式。
The weighted least square iteration computational equations and error estimate equations are given.
在此基础上研究了模型中系统参数及运动参数的标定问题，设计了一种全新的标定块，并使用该标定块根据最小二乘法和迭代法快速地实现了参数标定。
Then the system parameters and kinematical parameters is estimated and a new calibration block is designed, After that the parameters are determined as a result by the least squares method.
通过引入微处理方法和迭代算法，我们可以用最小二乘法求解非线性方程逐步由一系列线性方程组。
By introducing the micro-disposal method and the iterative algorithm, we can use the least squares approach to solve the nonlinear equations progressively by a series of linear equations.
对结构方程模型——偏最小二乘法分析的模型结构、迭代原理进行了具体研究。
In this paper, the model structure and iterative theory of the structural equation modeling is studied.
通过阻尼最小二乘法自动迭代反演，减少了这代次数和多解性，提高了解释精度。
By damping least squares auto-fit, the iterative several times and ambiguity can are reduced, and accuracy is improved.
并通过实验总结出线性预测，迭代调整，恢复丢失特征点等方法，并对自适应最小二乘法进行了改进。
Some methods like linear prediction, iteration adjustment and recovery of missing feature points are summarized from the experiment, with which the LSM method is improved.
该法用线性最小二乘法、迭代法以及二分法与最小二乘法相结合的方法，以积分方程、微分方程和放热速率方程拟合实验数据。
Thedata are fitted to the integral, differential and exothermic rate equations by linear least-squares, iterative, combined dichotomous and least-squares methods, respectively.
本文提出一种分步迭代的加权残值方法，并从理论上证明了分步迭代的最小二乘法用于求解线性问题时的收敛性。
In this paper, a kind of iterative weighted residual method is suggested. It is shown theoretically that the method of the least square for linear problems is convergent.
给出了加权最小二乘法的迭代计算公式和误差估计公式。
The weighted least square iteration computational equations and error estimate equations...
阻尼最小二乘法在较差的初值条件下能有效运行，并能克服系数矩阵奇异时的迭代困难。
Damped least-squares method can work successfully at a relatively poor initial value, and it can overcome the recurrence difficulty caused by the singular coefficient matrix.
在通常情况下必须进行迭代计算，计算过程比经典最小二乘法复杂，但解的精度不会有任何改善。
However, the calculation procedure has not proved to be promising in that the complexity in calculation and does not produce an improvement in the precision.
在通常情况下必须进行迭代计算，计算过程比经典最小二乘法复杂，但解的精度不会有任何改善。
However, the calculation procedure has not proved to be promising in that the complexity in calculation and does not produce an improvement in the precision.
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