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density function相关的网络例句

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

On the basis of Russenes method, the probability density function and membership function are deduced.

结合工程常用的Russenes岩爆判别法,推导出模型的概率密度函数和隶属函数形式。

Their distribution function and density function marked by andleave each other.

它们的分布函数与密度函数分别记作与。

On the basis of the power spectra of earthquake records, the parameters of the power spectral density function of the twice filtered Gaussian white noise process are determined by adopting the least squares procedure of a nonlinear function.

根据地震记录的功率谱,采用非线性函数的最小二乘法,确定了两次过滤Gauss白噪声过程的功率谱密度函数的参数。

The Lagrangian function is introduced to infer the analytical form of the ME density function.

建立输入参数的概率模型,估计其特征参数是可靠性分析的关键步骤之一,直接影响结果的正确性和准确度[1]。

Based on the limited mathematical expectation, the density function, distribution function and other mathematical tools, the impact of the use of different types of deductible and compensation limit on the pure premiums is analysed.

在有限数学期望、密度函数、分布函数等数学工具的基础上,分析了不同类型的免赔额与赔偿限额的同时使用,对纯保费的影响。

Based on the model of stiffened plates with concentrated added mass, a study of the stochastic vibration was carried out, and system's mean value, mean square value, cross-correlation function, cross-spectral density function were calculated.

从带有附加集中质量加肋板的力学简化模型出发,推导给出了该模型的随机功率谱密度,并分析了系统随机振动响应的其他统计数字特征:均值、均方值、互相关函数和协功率谱密度。

It obtained analytic expression or arithmetic solution of the mean value, the mean square value, the related function and the spectral density function of heat conduction system of 0-D, 1-D, 2-D and 3-D, by applying stochastically theory of linear system and the results of the first part.

该部分利用线性系统的随机理论和第一部分的成果,获得了0维、1维、2维和3维导热系统均值、均方值、相关函数、谱密度函数的解析表达式或数值解。

We obtained the monotone property of the maximum function of Z distribution density function.

其中,a与b是两个正参数,一般对Z分布的研究,主要着重于其概率意义[2]。

Aiming at complicated computing and difficulty of being realized when extending single sensor PHD filtering to the multi-sensor case by means of probability generating function, a multi-sensor multi-target sequential particle-PHD tracking algorithm is proposed based on the thought of sequential filtering for a centralized fusion system. The algorithm chooses the importance density function with regard to every sensor, and updates sample particle of every sensor layer by layer.

当采用概率母函数将单传感器PHD滤波推广到多传感器情形时,针对计算繁琐,难于实现的问题,本文基于集中式融合系统的有序滤波思想,提出多传感器、多目标有序粒子PHD跟踪算法,该算法通过选取与各传感器相关的重要性密度函数,层层更新各传感器的采样粒子,达到多传感器多目标有序PHD跟踪。

Probability density function, phase space diagram, and mutual information function are utilized to analyze normal sinus rhythm and atrial fibrillation R-R intervals.

利用概率密度函数法,相空间图法和互信息函数法分析了正常窦性心律及房颤R-R间期。

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