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error estimate相关的网络例句

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与 error estimate 相关的网络例句 [注:此内容来源于网络,仅供参考]

By taking advantage of the modeling capacity of neural networks, the dependence on model of inverse system is reduced. Neural networks error model is used to estimate the uncertainty to decrease the error bound set in variable structure control.

围绕这两个目的,本文首先介绍了挠性结构发展的现状,以及所面临的主要控制问题和采用的主要控制方法,分析了各自的优势和存在的不足。

This method combines the information of output tracking error with the parameter estimate error in constructing the adaptation law, which gives a better result in parameter estimation than that from the traditional ARC.

该方法同时采用了输出误差与参数估计误差的相关信息构造自适应律,具有比常规ARC更好的参数估计效果。

For robustness of parameter estimation of linear model,we obtain the maximal classes of the error distribution,in which Generalized Least Squares Estimate,Gauss-Markov Estimate of estimable function of parameters,and Minimum Norm Quadratic Unbiased Estimator of variance maintain their optimal statistical properties.

这些研究成果不仪具有比较深刻的理论意义,还具有较为广泛的应用价值。

First of all, we introduce some interval methods and propose a new approach to find confidence interval for the slope in homoscedastic measurement error models. The performance of the interval estimation is compared in terms of both coverage probability and its diameter via simulation studies. Second, we suggest two approaches to estimate confidence intervals for the slope and joint confidence regions for both intercept and slope in heteroscedastic measurement error models. Application of these methods are illustrated with real data sets.

首先,当测量误差的变异是同质性时,我们对斜率项参数建构信赖区间,除了回顾已发表的方法外,也提出一个新的方法,建议的区间方法分别和已存在的方法做模拟比较,比较的标准建构在覆盖机率和平均长度上;另外,当测量误差的变异是异质性时,我们不仅对斜率项参数建构信赖区间提出新的方法,也对截距项参数和斜率项参数建构联合信赖区间。

Firstly, the existence and uniqueness of the solution for neutral stochastic functional differential equations with infinite delay under the uniformly Lipschitz condition, linear grown condition and contractive condition can be directly derived; And the moment estimate of the solution and the estimate for error between the approximate solution and the accurate solution can be both given; If the uniformly Lipschitz condition is replaced by the local Lipschitz condition, the existence and uniqueness theorem can be gained; Meanwhile, the existence and uniqueness of the global solution in the interval 0,+∞ can also be obtained; Secondly, L~p-exponential estimate of the solution for neutral stochastic functional differential equations with infinite delay can be studied; At length, the theorem of the local solution about neutral stochastic functional differential equations with infinite delay only under the local Lipschitz condition and the contractive condition can be established.

首先,在一致Lipschitz条件,线性增长条件和压缩性条件下,直接得到了具无限时滞中立型随机泛函微分方程解的存在惟一性,并给出了解的矩估计,近似解与精确解之间的误差估计;将一致Lipschitz条件替换为局部Lipschitz条件,也得到了具无限时滞中立型随机泛函微分方程解的存在惟—性,同时,也给出了在整个区间0,+∞上具无限时滞中立型随机泛函微分方程解的存在惟一性定理;其次,也讨论了具无限时滞中立型随机泛函微分方程解的L~p指数估计;最后,在局部Lipschitz条件和压缩性条件下,建立了具无限时滞中立型随机泛函微分方程局部解的存在惟一性定理。

In one embodiment, the parameter estimate is an estimate of time of arrival of the signal, and the reliability metric is root mean square error of the time of arrival estimate.

在一实施例中,参数估计是信号的到达时间的估计,可靠性度量是到达时间估计的均方根误差。

Fist, comprehensive analysis on the current study on data processing is made, and characters of Newton methods about nonlinear surveying and mapping data processing are discussed, and then new solutions to parameters estimate with multi-sources, multi-types, multi-dimension, multi-precision bynonlinear least square are presented such as PSB algorithm, digital continuation and generalized digital continuation algorithm, cone model method, tensor analysis method, GCMA(mixed algorithm of gradient method and conjugate gradient method), combining algorithm based on Newton method and gradient method and confidence region and so on, and a new fast difference iterative algorithm is proposed towards parameters estimation containing random parameters in nonlinear models, and a new solutions to nonlinear least squares surveying and mapping adjustment by parameters estimation both considering the random and nonrandom parameters is presented after studying on nonlinear data processing in deformation monitoring, and at last primary analysis on error propagation of spatial data is made and approximate error propagation formula and error analysis formula to length and area are proposed.

首先比较全面分析了目前测量数据处理理论的研究现状,讨论了牛顿类方法在处理非线性模型参数估计方面的特点,研究并给出了求解多源、多类型、多维、多精度、非线性最小二乘测量平差参数估计的若干种新方法,这包括PSB算法、数值延拓及其广义数值延拓算法、锥模型法、张量分析法、基于最速下降法和牛顿法的组合算法、基于最速下降

A torsional oscillation observer based on the general observer was discussed to estimate the speed of the turbine generator. The dynamic characteristics of standard Luenberger observer with quantization effects were studied by Lyapunov stability criterion. It is concluded that the state estimate error can not asymptotically converge to zero in-the-large in presence of quantization effects.

讨论了基于状态观测器的汽轮机轴系扭振测量方法,采用李亚普诺夫稳定性判据分析存在量化效应的条件下标准龙贝格观测器的动态特性,指出由于数字系统中的有限字长效应会使观测器的跟踪性能恶化,估计误差不能在大范围内渐进收敛。

In the first part, first of all, we have a priori estimate for solution of the reaction-diffusion equation with initial condition and Dirichret boundary conditions. Then, we construct a semidiscrete Legendre pseudospectral scheme, and have a priori estimate for approximate solution. We discuss the asymptotic stability of approximate solution. At last, we get a error estimation on large time for solution of the semidiscrete system.

首先,对此类方程初边值问题的解进行了先验估计;然后建立方程半离散的Legendre拟谱格式,并对近似解进行了先验估计,讨论了近似解的渐近稳定性;最后,得到了半离散系统解的长时间误差估计。

In this paper, two-stage Generalized Linear models are developed to estimate the outstanding claims reserve in Non-life insurance. The models are based on the PPCI methods, estimating the claim number and payments per claim incurred respectively to obtain the estimate of OCR and prediction error.

本文以非寿险业务未决赔款准备金估计的确定性方法-PPCI法的思想为基础,分两阶段建立广义线性模型,分别对索赔次数和已发生每案赔付额进行估计,进而得到未决赔款准备金的估计值,并对模型的预测误差进行估计。

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