The parameters are estimated with non linear least square method.
模型中的参数估计采用非线性最小二乘法。
The parameters of the kinetic equation were estimated by the linear least square method.
动力学方程中的参数用线性最小二乘法估计。
The linear least square method should be selected to fit engineering data to a straight line.
在工程数据线性拟合时，宜选用线性最小二乘法。
The result of non-linear least square method is compared with that of the genetic arithmetical method in the concrete examples.
通过具体算例，将非线性最小二乘法和遗传算法的结果，分别进行了比较。
The algorithm is implemented by using the linear least square method, thus making it possible to design an advanced load-sensing instrument for weigh-in-motion.
最后运用线性最小二乘法，实现了该算法，并采用该算法设计了先进的动态称重仪。
To ensure the measurement precision of the electric power fault recorder, this paper proposes a channel calibration approach based on the linear least square method.
为了保证电力故障录波器的测量精度，提出了一种基于线性最小二乘原理的录波器通道校正方法。
Trial-and-error method of the linear regression is introduced to determine the reasonable range of geological parameters. And the nonlinear least square method to calculate OGIP.
采用直线回归的试算法确定气藏合理地质参数的范围，介绍了非线性最优化天然气储量的计算方法。
The nonlinear parameter identification of fuel cell polarization curve was converted into two sub-problems of linear least square identification based on interval segmentation technique.
基于区间分段思想，将极化曲线非线性参数辨识转化为两个线性最小二乘辨识子问题。
In this scheme, the inputs of hidden layer neurons are acquired by using the gradient descent method, and the weights and threshold of each neuron are trained using the linear least square method.
在该方案中，通过梯度法获取隐层神经元的输入，使用线性最小二乘法训练各神经元的权值和阈值。
CONCLUSION the theoretical values obtained by non-linear least square model fit program is near to the test values. The theoretical equations can describe accurately the release kinetics of pellets.
结论采用非线性最小二乘法拟合释药动力学方程得到的理论值更接近真实值，说明由非线性最小二乘法模型嵌合通用程序得到的动力学方程能准确表征微丸的释药动力学。
The superiority of the classical least square method is lost due to the morbid of designed matrix in large-type linear regression analysis.
在大型线性回归分析中，由于设计矩阵的病态使得经典的最小二乘法失去了优良性。
After expounding the modeling method of multiple linear regression based on least square algorithm, the thermal distortion model is modelled.
在介绍了基于最小二乘法的多元线性回归建模方法后，建模了机床的热变形实时预测模型。
The algorithm is polynomial curve fitting based on least square approximation. The experimental result shows its performance is more effect than that of the piecewise linear algorithm.
该算法是在最小二乘意义上的多项式曲线拟合，实验结果表明，其校正效果明显优于分段线性校正算法。
The parameters of the camera and the projector are simultaneously estimated by using non-linear least-square estimation model, whose outputs contain the estimated parameters and their accuracys.
摄像头和投射器参数同时采用非线性最小二乘估计模型进行估计，其输出包含被估计的参数及其准确度；
The parameters of linear network are identified by recursive least square and weights and thresholds of MFNN are learned by BP algorithm.
线性网络部分的参数采用递推最小二乘法辨识，多层前向网络的权值和阈值采用BP算法学习。
Linear distortion model was used and the distortion coefficients were obtained by resolving overdetermined linear equations and least square method.
采用线性畸变模型，由最小二乘法解线性方程组得到摄像系统畸变模型的畸变系数。
Linear distortion model is used and distortion coefficients are obtained by resolving over-determined linear equations and least square method.
采用线性畸变模型，由最小二乘法解线性方程组得到摄像系统畸变模型的畸变系数。
Further, the least square method has been applied to get linear curve fitting and the SDL7432 linear measurement curve has been given.
利用最小二乘法对测量数据进行了线性曲线拟合，得出了SDL7432的线性测量曲线。
Kalman filter is a high efficiency, optimal data process method, which is a realtime recursive filter of linear, non-bias and least square.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
In this paper a "compact least square method" is presented to overcome the ill-conditioned coefficient matrices in the linear regression models.
本文提出一种克服线性回归模型系数矩阵病态的“紧致最小二乘估计”。
Kalman filter is a high efficient, optimal data process method, which is a real time recursive filter based on linear, non-bias and least square approach.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
The research about least square estimation of regression parameters in the linear model has included integrated and systemic results.
对于线性模型中回归参数的最小二乘估计的研究工作已经有了系统和完整的研究结论。
Based on the results of the edge anchor, several segments of the height data are selected and linear polynomial fitting are done using least square approximant on these segments separately.
根据台阶边缘检测结果，选取部分采样点数据，用最小二乘法进行直线拟合。
In this paper, an algorithm of linear regression algorithm of least square with guideline of principal axis is derived according to the practical situation of application in reservoir engineering.
结合油气藏工程应用中实际，推导了线性回归主轴准则最小二乘线性回归算法。
By which linear and nonlinear frequency response function was estimated, and nonlinear stiffness coefficient and damping coefficient of the model were optimized by least square method in this paper.
利用该方法对非线性频响函数进行估计，并利用了最小二乘法对模型的非线性刚度系数和非线性阻尼系数进行了优化。
For recognition, the front or trailing edge of projection of binary image on horizontal axis basically shows linear shape, so least square theory is applied in tilt correction.
识别过程中，数码管二值化后的图像在水平轴上的投影，其上升沿或下降沿基本呈现直线的形状，尝试把最小二乘法应用于倾斜校正。
In first the linear regression model resulted from least square method is presented and its disadvantage is analyse, great forecasting error exists when extreme abnormal case exists.
本文先介绍了用最小二乘法进行线性回归预测的方法，并分析了其不足，即当存在着极端的异常情况时，往往存在着较大的预测误差。
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.
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.
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。
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