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- The structure of PMN is a four layer feedforward neural networks(FNN), where the Gaussian probability density function is realized as an internal node. PMN网为一个四层前馈网，它构成一个贝叶斯分类器，实现多类分类的贝叶斯判别，把输入的说话人语音数据模型参数通过网络变换为输出的说话人判定。
- In signal processing applications, it is often required to compute the integral of the bivariate Gaussian probability density function (pdf) over the four quadrants. 在信号处理的应用中 ;经常需要计算双变量高斯概率密度函数在四个象限上的积分值 .
- Gaussian probability density function 高斯概率密度函数
- 8. In signal processing applications, it is often required to compute the integral of the bivariate Gaussian probability density function (pdf) over the four quadrants. 而对二元贝塔分布,则是根据贝叶斯推断导出混合模拟方法,将其应用到相关二元贝塔分布的抽样中,并通过一个数值例子验证了该方法的可行性。收藏指正
- Gaussian probability density 高斯概率密度
- 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. 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。
- Since it is the probability density, it must be single-valued. 因为它是几率密度，因此必须是单值的。
- We get a buildup of electronic probability density between the nuclei. 我们得到在两个核间的电子几率密度的堆积。
- A neural network model based on Gaussian Mixture Models has been devised by Dirk Husmeier in 1997 in order to predict the conditional probability densities. Dirk Husmeier于1997年设计了一个基于高斯混合模型(简称GM模型)的神经网络用来预测概率密度。
- Sample Percentage Presentation of Joint Probability Density of Two Random Variables. 二维随机变数联合机率密度之取样百分比。
- The first paper introduces a new way of approximating the probability distribution of a function of random variables.This is done with a Gaussian probability law with stochastic mean and variance. 在实际状况无法掌控时，工程师便引入机率的观点来判断系统本身具有的特性，藉由特定且连续之曲线来适当描述系统的失效机制，可靠度模型便由此衍生而来。
- If cumulative is TRUE, EXPONDIST returns the cumulative distribution function; if FALSE, it returns the probability density function. 如果cumulative为TRUE,函数EXPONDIST返回累积分布函数;如果cumulative为FALSE,返回概率密度函数。
- In this paper, the method of generating random number with given probability density function is proposed by using vertical density representation. 摘要本文首先介绍基于垂直概率密度表示的，给定密度函数的随机数生成的通用方法；
- Based on the diffusion equation, the transition probability density of stock prices is calculated by means of the Monte-Carlo method. 摘要在扩散方程对股价运行描述的基础上，用蒙特卡罗方法得出未来某一时刻股价转移概率密度的数值解。
- For the accident assessment probability density function can be used to solve the uncertainties of estimation of the source intensities. 应用几率密度函数可解决事故预测时源强估算的不确定性问题。
- The binned kernel density estimators were exploited to estimate the probability density function of background intensity in training sequence. 该模型采用分箱核密度估计算法从训练图像序列中得到背景的密度函数。
- Based on probability density approximation, a novel unsupervised feature ranking approach was proposed and could be applied to feature selection. 摘要依据概率密度逼近提出了一种新的无监督特征排序，应用于特征选择降维。
- Weibull probability density function (pdf) is used to describe the diameter of breast height (dbh) distribution for stand structure. 以韦伯机率密度函数来描述直径分布，表示其林分结构，性态值分布状况。
- However, the better such a representation, the higher its dimensionality, the more difficult it is to estimate a probability density function. 然而，这种表示方法表示得越全面，所需要的维数就越高，估计概率密度函数也就越困难。
