模型中的参数估计采用非线性最小二乘法。
The parameters are estimated with non linear least square method.
非线性最小二乘法用于估算指数时间模型。
Non-Linear Least Squares were used to estimate the exponential time model.
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 result of non-linear least square method is compared with that of the genetic arithmetical method in the concrete examples.
利用线性与非线性最小二乘法，得出液态饱和水的物性对于温度的关系式。
The author obtained relations for physical properties of liquid saturated water and temperature by using liner and non-liner minimum bi multiple method.
模型的直接参数通过实测数据获得，隐含参数利用非线性最小二乘法拟合反求获得。
Direct parameters were attained from the measurement data, and hidden parameters of the model were calibrated using the generalized least squares method.
利用数学模型和非线性最小二乘法对实验数据进行了参数识别，得到了动力学模型参数。
Parameters of kinetics were estimated from experimental data by using mathematical model and the method of least squares, and the kinetic equation was obtained.
最后基于非线性最小二乘法对模型进行优化求解，得出了SR重建图像及其全局运动域。
Nonlinear least squares method is employed to solve the model to get the global motion area of SR resolution.
以二元件均衡器为链接模型，以非线性最小二乘法为最优化方式，解决了多节均衡器链接中初始参数值的选取问题。
Taking two-element equalizer as a link model, taking nonlinear least square method as optimum mode, selection problem of initial parameters in multiple node equalizer links is solved.
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。
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.
为了使作物生长模型中的参数最优化，提出了一种改进型非线性最小二乘法在作物生长模型中隐含参数估计的应用技术，针对多目标项的情况提出了权矩阵的自动计算方法。
In order to optimize the parameters in a crop growth simulation model, a new method based on nonlinear least squares method was developed for estimation of hidden parameters of crop growth.
之后，借鉴牛顿法、平衡法和摄动法对由移动最小二乘法得到的非线性代数方程组提出了新的求解方法。
And then an new iterative method is presented to solve the nonlinear equations system obtained from moving least-square approximation.
详细叙述了用能量法对建模的非线性方程进行线性化，并且利用总体最小二乘法对此类方程进行参数辨识。
A scheme utilizing is presented that energy method linearizes nonlinear equations which are acquired by modeling and the equations are solved by the total least squares.
本文基于非参数回归模型的局部核权最小二乘法提出变量间非线性协整的一种非参数检验方法。
Based on the locally kernel weighted least squares fit of the nonparametric regression models, this paper presents the nonparametric testing method for nonlinear cointegration.
本文基于非参数可加回归模型的局部核权最小二乘法提出变量间非线性协整的一种非参数检验方法。
Based on the local kernal weighted least squared fit of the nonparametric and additive regression model, this paper presents the nonparametric testing method for nonlinear cointegration.
对系统采集的实验数据用曲线拟合的最小二乘法进行处理，完成实验数据的非线性矫正。
The experiment data collected by system is be disposed by Least square method that the contours fit, which adjust the non-linearity of experiment data.
针对某型号金属橡胶减振器建立了非线性数学模型，并利用最小二乘法对模型进行了参数识别。
For a metal rubber damper, the nonlinear mathematical model was built and identified with the least square method.
对非线性系统建立T-S模糊模型，并用正交最小二乘法（OLS）对模糊规则的后件参数进行辨识。
T S fuzzy model is constructed for nonlinear system in this paper, and orthogonal least squares (OLS) method is used to identify the parameters of fuzzy ruler consequents.
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。
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.
最小二乘法在化工中广泛用于数据拟合的线性和非线性回归及模型参数估值。
The least square method is popularly used in linear and non-linear regressions for data fitting and estimating model parameters.
反演过程归结为求解非线性最小二乘问题，在使用阻尼最小二乘法求解中提出了一种新的选取阻尼因子的算法。
The inverse process is equivalent to solve a nonlinear least square problem and a new way to choose damping factor is presented in utilizing the damping least square method.
然后，采用最小二乘法求得T-S模糊模型的规则后件参数，从而建立起非线性系统的T-S模糊模型。
Secondly, the consequent parameters of rules are calculated by the least squares estimate. Thus, the T-S fuzzy model is set up.
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.
使用混沌与分形分析的例程，LCMV优化设计阵列处理信号，利用最小二乘法进行拟合多元非线性方程。
Use Chaos and fractal analysis routines, LCMV optimization design array signal processing, Multivariate least squares fitting method of nonlinear equations.
采用自由振荡法数值模拟了平头、钝头外形的超声速俯仰振荡时间历程，并应用奇异分解线性最小二乘法辨识稳定性导数，得到动导数随马赫数和攻角非线性变化的规律。
The dynamic derivatives conception is used as the index for the vehicle stability, but it is looked as the function of angle of attack and Mach number to induced nonlinear characteristics.
采用最小二乘法对常温h2s传感器进行了非线性校正，并进行了实验测试，结果表明完全满足测试精度。
In this paper, Lineanrization of room temperature H2S sensor has been done through LSM (least square method). The practical test results show that the measurement accuracy is satisfied.
非线性函数的最小二乘法拟合曲线需要求解一个非线性方程组。
It is necessary to solve a system of nonlinear equations for fitting the curve of nonlinear function by use of the least square method.
本文提出一种基于乘积型最小二乘法的离子计温度补偿方法，离子浓度测量模型参数反映传感器的非线性特性和温度漂移特性。
A new method to compensate the temperature excursion of ion instrument is proposed in the paper. The model parameters reflect the nonlinear characteristics and excursion.
针对苯丙氨酸解氨酶生物传感器非线性特性，依据最小二乘法理论，采用最优化技术，建立了最佳拟合直线的数学模型，并给出基于可编程控制器的数据拟合程序。
To solve the non-linear problem of a biosensor, the least square method and the optimum technique have been applied to build a mathematical model to evaluate the optimum fitting straight.
应用非线性最小二乘平差方法阻尼最小二乘法研究了数字化数据误差处理，并将该方法与最小二乘条件平差进行了比较。
This paper presents a study on error processing of map digitized data with nonlinear least squares adjustment which is called damped least squares.
应用非线性最小二乘平差方法阻尼最小二乘法研究了数字化数据误差处理，并将该方法与最小二乘条件平差进行了比较。
This paper presents a study on error processing of map digitized data with nonlinear least squares adjustment which is called damped least squares.
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