unknown parameter

英 [ˌʌnˈnəʊn pəˈræmɪtə(r)] 美 [ˌʌnˈnoʊn pəˈræmɪtər]

n.  未知参数

计算机



双语例句

  1. The only part remaining is the handling of error reporting ( such as an unknown parameter flag character or a numeric value out of range).
    最后剩下的部分就是处理错误报告(例如一个未知的形参标记字符或者一个超出范围的数字值)。
  2. In statistical studying, it is always an interesting topic to obtain the estimation and its distribution for an unknown parameter in model.
    探求模型中未知参数的估计及其分布一直是统计学研究中的感兴趣的问题。
  3. Detection of Signal with Unknown Parameter in Colored Noise
    有色噪声中信号的GLRT检测算法研究
  4. An interval estimation of unknown parameter p in negative binomial distribution
    负二项分布中未知参数p的一个区间估计
  5. Hilbert problem with unknown parameter function on infinite straight line
    无穷直线上含参变未知函数的Hilbert问题
  6. The control of a stochastic system with unknown parameter was considered.
    考虑具有未知参数的随机系统的最优控制问题。
  7. 2N adjustable parameters are required to complete the identification of 2N unknown parameters and the observation of N states for an N-step linear unknown parameter system.
    对于N阶线性参数未知系统,要实现2N个未知参数的辨识和N个状态的观测,需2N个可调参数。
  8. Insensible optimal detection method of unknown parameter signal in non-Gaussian noise is introduced. The analytic expression of Rao detection is presented based on the Rao detection of linear signal and random signal in non-Gaussian noise.
    研究了非高斯噪声中具有未知参数的信号的渐进最优检测,应用非高斯噪声中线性模型信号以及随机信号的Rao检验,导出了Rao检测的解析式,并与广义似然比检验的性能做比较。
  9. In combination with the Bayes estimator for the parameter of linear exponential model under the same loss function, the nonparametric empirical Bayes estimator of the unknown parameter was obtained.
    然后结合线性指数模型未知参数在相同损失函数之下的贝叶斯估计得到了未知参数的非参数经验贝叶斯估计。
  10. The weak consistence and the asymptotic normality of the robust M-estimate of the unknown function are given, and the weak consistence of the robust M-estimate of the unknown parameter is established.
    进一步证明了未知函数的M-估计的弱一致性和渐近正态性,参数的M-估计的弱一致性。
  11. The interval estimation is an important method to estimate the unknown parameter in population distributing and is significant for guiding practical production.
    区间估计是对总体分布中未知参数进行估计的一种重要方法,对指导实际生产有着重要意义。
  12. Estimation of Unknown Parameter of Pascal Distribution
    巴斯卡分布中未知参数的估计
  13. Exact confidence interval of unknown parameter in Poisson distribution
    Poisson分布中未知参数的精确置信区间
  14. Methods The strong consistent estimates of steady-state model are obtained by using steady-state data. The estimates of nonlinearity gain are obtained by using steady-state model. The consistent estimates of the bilinear unknown parameter of the MISO bilinear Hammerstein model are obtained by using dynamic data identification.
    方法利用稳态信息获取稳态模型的强一致性估计,并通过稳态模型获得非线性增益的估计,再利用动态信息辨识获取MISO双线性Hammerstein模型的双线性系统未知参数的一致性估计。
  15. The confidence lower bound, upper bound, and accurate confidence interval of unknown parameter in Poisson distribution are obtained by employing the method of hypothesis testing. It also provided theoretical basis for practical application.
    用假设检验法构造了Poisson分布中未知参数的置信下限和上限,及精确置信区间,为实际应用提供了理论依据。
  16. The fault is a nonlinear function, which is dependent on control input and unknown parameter vectors but is independent on system output.
    非线性系统的主导部分是依赖于系统输出和控制输入的非线性函数,故障是依赖于控制输入和未知参数的非线性函数,但故障独立于系统输出。
  17. The method takes the power frequency as an unknown parameter and uses a nonlinear least squares fitting procedure based on a higher order model to process the sampling data.
    它利用高阶正弦模型,将电网频率视为未知参数,对采样数据进行最小二乘意义上的非线性拟合计算。
  18. The generalized least square estimate ( simply noted as GLSE) on the unknown parameter matrices in the model and the admissibility of GLSE for linear estimate class are proved by using the matrix theory.
    运用矩阵理论证明了此广义最小二乘估计在某个线性估计类中的可容许性。
  19. The controller guarantees the estimated value of unknown parameter in the prescribed extent.
    且所求控制律能确保未知参数的估值在一个预先给定范围内。
  20. Kalman-Bucy Filtering of Continuous-Time System with Unknown Parameter Vector
    含未知参量的连续时间系统的Kalman-Bucy滤波
  21. To decrease the errors of identification and observation, a group of 2N corresponding adjustable parameters are needed in every unknown parameter system.
    为减小辨识及观测误差,每一个参数未知系统都需要对应的一组2N个可调参数。
  22. The Wiener Expansion Analysis of an Unknown Parameter Nonlinear System
    一类参数未知非线性系统的维纳级数分析
  23. The basic characteristic of the linear model is the unknown parameter of the model is linear and it also includes the linear random error.
    线性模型的基本特征是,模型的未知参数是线性的,同时又线性的包含了随机误差项。
  24. By using Tikhonov regularization function and Gauss-Newton method, a modified algorithm is presented and the convergence of algorithm is proved under different observation. Those works provide theoretical foundation to the unknown parameter identification of SMA model.
    通过引入Tikhonov正则化函数和Gauss&Newton法,提出了一个改进算法,分析了不同观测情况下算法的收敛性,为形状记忆合金模型未知参数辨识提供了理论依据。
  25. Aimed at a class of nonlinear system satisfying Lipschitz conditions with the unknown parameter, this paper studies the design of the adaptive state observer of the Lipschitz nonlinear system with the Lyapunov approach.
    针对一类满足Lipschitz条件的具有未知参数的非线性系统,利用Lyapunov方法对Lipschitz非线性系统自适应观测器的设计问题进行了研究。
  26. Because this method can make full use of prior information about unknown parameter, it can reduce the demand for field testing sample size.
    由于该方法充分利用了验前获得的关于总体分布未知参数的信息,因而减小了对现场试验子样的需求。
  27. Based on the boundary conditions, the problem is reduced to a set of nonlinear ( equations.) The unknown parameter of end and horizontal component of tension of main cable are solved by quasi-Newton methods.
    由边界条件,建立了求解主缆水平张力和端点未知参数的非线性方程组,采用拟牛顿法求解。
  28. Only one fuzzy logic system is employed as approximator to compensate all the unknown items, and at the same time, adaptive technology is adopted on line to identify the unknown parameter.
    在控制器设计过程中,仅采用一个模糊逻辑系统作为逼近器,使得所有的未知项得到补偿,同时采用自适应技术在线辨识未知参数和逼近误差上界。
  29. This scheme can estimate the unknown parameter correctly even when the time delay exists, and improve the parameter estimation based on complete synchronization.
    该方案能够在时间延迟存在的情况下有效估计系统的未知参数,改进了传统基于完全同步的参数估计方法。
  30. This paper is concerned with how to estimate the unknown parameter of a linear regression model for a small number of experimental runs within a finite discrete experimental region.
    本文从有限离散设计区域和线性回归模型入手,考虑如何通过少量试验次数进行参数估计。