讨论褶积模型参数估计问题。
The problem of the parametric estimation on a convolutional model is discussed.
指定哪个透镜模型参数估计和单击解决按钮。
Specify which lens model parameters to estimate and click the Solve button.
应用遗传算法解决非线性最小二乘模型参数估计问题。
Solved the nonlinear Least square problem based on Genetic Algorithms.
实验结果表明，该算法是一种有效的系统模型参数估计方法。
The experiment results show that particles swarm optimization is an effective method for parameter estimation of system model.
在第三部分，给出了结构型EV多项式模型参数估计的相合性。
In section 3, we obtain the consistency of the estimators of the unknown parameters in the structural EV polynomial model.
本文讨论了二维平稳隐马氏模型参数估计及其在文字识别中的应用。
Parameter Estimation and the applications in handwriting character recognition of 2-D stationary HMMs were discussed in this paper.
给出了该模型参数估计的EM算法，并利用BIC准则对模型进行定阶。
The estimation of the parameters can be easily done through EM algorithm and the order model is also easily selected by BIC criterion.
可逆的向量滑动平均(MA)模型参数估计问题本质上是一个矩阵谱分解问题。
The parameter estimation problem to the invertible vector moving average (ma) model essentially is a matrix spectral factorization problem.
利用率点对模型参数估计的影响强弱，使用一种加权的线性回归模型参数估计算法。
Model parameters are computed using a weighted linear regression technology according to the different impacts of rate point to estimation of model parameters.
模型参数估计LS和IVLS法在回旋窑烘干过程的开环辩识中都得到了应用和推广。
Both the LS and the IVLS parameter estimation techniques are successfully tested for open-loop idendification of rotary drying process.
为实现电缆故障定位系统的参数估计，提出了一种用于模型参数估计的改进贝叶斯算法。
In order to implement the parameter estimate in cable fault location system, an improved Bayes algorithm used for Model parameter estimate is proposed in this paper.
与经典的最小二乘法相比，共优点是能有效地抑制非整次谐波误差对模型参数估计的影响。
Comparing with the least squares method, the advantage of this approach in that the influence of non-integer harmonic errors on the estimate of model parameters has been effectively restricted.
利用遗传算法的全局寻优特点，将它应用于模型参数估计，建立了精度更高的煤炭产量预测模型。
The algorithm was applied to estimating the model parameters of coal yield prediction by using its global optimization performance, and a high precision model was founded.
首先引入了FIGARCH模型，并讨论了具有不同分布特征FIGARCH模型参数估计方法。
FIGARCH model is introduced and parameters of the model including different distribution characteristics are discussed in this paper.
实例分析表明，该方法简便、通用，具有较高拟合精度，是非线性、不连续可微模型参数估计的方法。
The actual practice shows that this new method is convenient, universal and precise. It is an excellent method for estimating parameters of non-linear, uncontinuous or undifferential model.
针对某飞行器结构响应信号TVARMA模型参数估计问题，本文提出了一种TVARMA模型系数分步估计方法。
To solve the problem of modeling the radio signal with TVARMA, a step-by-step method was proposed to estimate the TVARMA parameters.
分析了离散时间线性系统模型参数估计误差的收敛性和收敛速度，对参数估计误差服从渐近正态分布的一些条件进行了讨论。
The convergent property and convergent rate of parameter estimation error are analyzed . Some sufficient conditions are given to guarantee the asymptotic normality of parameter estimation error.
而GARCH模型参数估计的主要方法BHHH算法和广义矩方法在实际运算中常遇到中间数据震荡从而导致算法整体失效等。
But the methods of estimation of parameter of the GARCH models, BHHH and GMM, may become invalid because they usually meet the situation that the middle data fluctuate greatly.
为了克服随机噪声对河流水质模型参数估计的干扰，提出了一种水质模型参数的鲁棒估计方法，即基于M -估计的信赖域算法。
In order to overcome the disturbance of noises, a robust identification method of water quality model parameters namely trust region algorithm based on M-estimation is proposed.
仿真和实算结果表明，对于一大类线性和非线性回归模型，该方法给出的回归模型的参数估计效率的估计更接近模型参数估计效率的真值。
Simulation results and real measuring data calculations show that the precision estimation efficiency can be obtained by our method for a large class of linear and nonlinear regression models.
本文提出了模糊时间序列分析的理论和方法，研究了模型形式及其参数估计问题。
In this paper, the theory and method of fuzzy time series analysis are presented, the model form and the parameters estimate problem are studied.
非线性结构的参数估计和系统识别是取得和验证非线性结构数学模型的一门学科。
The parameter estimation and system identification of nonlinear structures is a subject which serves to obtain and verify mathematical model of nonlinear structures.
本研究对建立的模型给出了一种参数估计方法。
This study provides one method of parameter estimate of the model.
并通过模型识别与参数估计，得到线性模型的准确形式。
Using the model Identification and Parameter Estimation, the linear model is turns out to be accurate.
本文系统的介绍了条件随机场的定义、模型结构、特征函数、参数估计及其训练方法等。
This text systematically introduces the definition of CRFs, structure of the CRFs model, feature functions, parameter estimate and training methods.
结合东北地区负荷建模工作，在负荷模型的选择、参数估计方法以及现场试验等几方面进行了阐述。
Incorporating the power load modelling for Northeastern District, the selection of load model, the method of parameter estimation and field tests, etc. are expounded.
本文讨论了部分变量带误差的线性函数关系模型的参数估计问题。
In this paper, the problem of parameters estimation in linear functional relationship model with "error in some variables" is discussed.
讨论一类连续型随机数学模型的参数估计问题。
This paper discusses the parameter estimation problem of a continuous type stochastic mathematical model.
本文提出一种基于神经网络的多维自回归模型(AR,NLAR)参数估计方法。
A method of parameter estimation for multi-dimension autoregressive models (ar, NLAR) via neural network is given in this paper.
采用了通用估计方程(GEE)方法对泊松回归模型进行参数估计。
Generalized Estimation Equation (GEE) was used to estimate parameters of poisson regression model.
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