研究了渐硬恢复力刚性滑移结构在水平和竖向高斯白噪声地面作用下稳态响应的概率分布问题。
The probability distribution problem of the steady-state responses to horizontal and vertical Gaussian white noises of rigid sliding structures with hardening restoring force is studied in this paper.
对海洋湍流速度脉动的一维概率密度作了测量，并把测量结果与高斯分布进行了比较。
One-dimensional probability densities for oceanic turbulent velocity fluctuations and comparison with the Gauss distribution are given.
利用等效线性化方法推导了具有渐硬非线性复位弹簧的滑动系统的高斯白噪声激励稳态随机响应概率分布的解析解。
The analytic solutions of the probability density of the steady state responses of Coulomb sliding systems with gradually strong springs to Gaussian white noise are derived.
它不仅能有效地在语音识别中引入帧间相关信息，而且能克服状态输出概率密度函数为混合高斯分布的束缚。
The method not only would be effective to describe the inter-frame correlation information, but overcome tie of the state probability density function being mixture Gauss distribution.
在探测器产生光电子的概率为泊松分布和高斯分布的情况下，分别对信号的探测率和虚警率进行了定量的计算。
When the probability of the photoelectrons produced by the detector is of Poisson or Gaussian distribution, the detectivity and false alarm probability of the signal are calculated respectively.
给出确定利用最大熵原理建立的功能函数概率分布密度的待定参数时由高斯积分表达的离散化公式。
Discrete formulas expressed by Gauss-quadrature are presented when determine the parameter of probability density function which is established based on maximum entropy theory.
结果表明，空间压强分布可以用一个二维高斯概率函数的曲面方程来表达。
The sinplified space formula of the intensity distribution of pressure is developed, and the result ha shown that the equation is a two-dimensional Gauss' normal distribution equation.
水平旋流泄洪洞壁面脉动压强振幅概率分布基本上呈现高斯正态分布；
The distribution of wall pulsation pressure amplitude probability of level spiraling flow spillway tunnel basically presents the Gauss normal distribution;
连续域分布估计算法普遍采用高斯概率模型，假设变量服从高斯分布。
Estimation of distribution algorithms in continuous domains is based on such assumption that the variables subject to Gauss distribution.
连续域分布估计算法普遍采用高斯概率模型，假设变量服从高斯分布。
Estimation of distribution algorithms in continuous domains is based on such assumption that the variables subject to Gauss distribution.
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