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New parameter estimation Markov recursive algorithm for continuous stochastic linear system and bilinear system is proposed.

基于小波变换的连续随机线性和双线性系统参数辨识Markov方法分析研究了连续维纳过程在小波变换下的统计特性,给出了维纳过程的离散小波变换系数所构成的离散随机过程的协方差矩阵计算和估计方法,基此提出了线性和双线性连续随机系统参数辨识的Markov估计方法及其递推算法。

The characteristic parameters of interferences are obtained by FRFT. Then the adaptive interference canceler is designed according to the estimated interference parameters.

该方法首先对观察信号进行FRFT,估计干扰的特征参数,利用估计出的干扰参数构造自适应干扰对消器,将干扰去除。

In mathematical that is to say,after obtaining the sampleχ,we may obtain the conditional distribution Hwhen X=χ.

在传统的Bayes估计中,参数λ的先验分布都是已知的,但有时候我们不一定能得到λ的精确的先验分布,于是就产生了新的Bayes估计方法,比如E Bayes估计和多层Bayes估计。

Based on this, a method to estimate kernel parameters using the covariance function of the samples is presented.

证明了对于径向基核函数而言,采用变异函数估计核参数与采用协方差函数估计核参数的一致性。

About the problem of hypothesis testing for the problem of estimate interval,first of all,we set statistic and the distributions of the statistic.Fron this ,we derivate the methods of testing.

对于点估计问题,讨论了估计的优良性质;对于区间估计问题,讨论了估计的精度;关于参数的检验问题,首先建立检验用的统计量及其分布,由此导出检验的方法。

Almost all studies about EB estimation are for the parameter of distribution but few for the parameter function of distribution.

大多数对EB估计的研究都是针对分布参数的,然而对分布参数函数的EB估计的讨论却较少。

Choosing reliability simulation data as a sample, the parameter confidence interval as coding space and the reciprocal of errors between empirical distribution function and acquired distribution function as a fitness function, the point estimation model of age distribution is established based on the genetic algorithm, and the reliability function of complex systems is acquired.

以可靠性仿真数据为寿命样本,待估计参数的置信区间为编码空间,以经验分布与所求分布误差倒数为适应度函数,建立了基于遗传算法的寿命分布参数点估计模型,求得了复杂系统可靠度函数。

One problem which should be solved is how to determine window width when theories and methods of nonparametric kernel density are employed to simulate stand structures,which is also the core of applying the nonparametric kernel density estimation in practice and directly related to simulation precision.

应用非参数核密度估计理论和方法,对林分结构进行模拟中,一个必须解决的问题就是窗宽的确定,这也是非参数核密度估计在实际应用中的核心问题,它直接影响模拟精度。

It establishes the prior information, according to historical information or the design experiences and the posterior distribution of the parameters on the basis of sample data, by which we can do point estimation or interval estimation, predict the future trend.

首先,作为可靠性评估的基础性工作,本文提出了贝叶斯预测模型用于配网元件原始参数的评估,引入由历史资料或设计经验形成的先验信息,并结合样本数据形成被估参数的后验分布;在此基础上进行点估计或区间估计,就可以对未来的变化趋势做出预测。

ALSAB adopts Maximum A Posteriori provability estimation and Expectation-Maximization algorithm to estimate the weight parameters of LSA,and ALSAB employs incremental learning to decrease accumulative effect caused in continuous update with considering that the probability of uncommon words decreases in continuous update.

ALSAB采用最大后验概率估计与期望值最大算法对概率LSA模型参数进行有效的估计,在充分考虑多次更新中不常用字词概率参数降低问题的前提下,采用增量学习方法降低多次更新产生的累积效应。

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