We can apply many good qualities of wavelet orthogonal series to estimate the condition probability density function of hmm ' s 我们利用小波正交级数的很多良好性质来估计隐马尔科夫模型中的条件概率密度函数。
The probability model for the initial time of corrosion is founded ; and the distribution type and the probability density function for the initial time of corrosion are obtained 通过建立腐蚀初始时间的概率模型,得出腐蚀初始时间的分布规律和概率密度函数。
As an example , the ratios of the experimental value to the analytical value of ultimate strain of confined concrete are taken as random variables whose probability density function is estimated with the proposed method 以约束混凝土极限应变的试验与理论预测值之比值为例，进行了概率密度函数估计。
To improve the monitoring sensitivity , it is for the first time to propose the utilization of the pdf of the principal components in real - time to monitor batch production process 针对这一缺点，本文首次提出用kde提取主元的概率密度函数用作为实时状态监测图，应用于对间歇生产过程主元空间实时状态监测的问题上。
Combined with the prior distribution of the model parameters and water quality observation data , joint posterior probability function which stands for the distribution characters was obtained by bayes ' theorem 结合模型参数的先验分布和水质监测数据，通过贝叶斯定理计算获得了表征参数分布规律的联合后验概率密度函数。
Bayesian method is used to calculate the posterior probability density function of the parameters for the model , and then monte carlo method is used to sample the model for getting the estimated values of the parameters 采用贝叶斯方法计算出模型参数的后验概率密度函数，通过蒙特卡罗方法时其进行采样来获得参数的佑计值。
The instantaneous probability density function of the virtual stochastic process is evaluated , and then the probability density function of the basic random variable is obtained by employing the independent random samples 利用独立随机抽样的样本值，即可获取虚拟随机过程的瞬时概率密度函数，进而获得随机变量的概率密度函数估计。
The state is markov process in appropriate expanded space and the accurate stationary solution , which is the probability density function of velocity response , can be obtained by solving its corresponding fpk equation 在适当扩大了的空间中，其状态是马尔可夫的，通过求解对应的fpk方程可得到精确稳态解，即速度响应的概率密度函数。
The ica - based method without assumption that data follow normal distribution , can easily calculate the joint probability density function of independent components ( ics ) , because each of ics statistically independent 采用独立分量分析的方法可以避免数据服从正态分布的假定，且由于各个独立成分之间统计独立，其联合概率密度函数可以很方便的求取。
Using conception of relative rate of change , a definition of probability density function is given based on the class of differentiable monotone function which is bounded on domain of definition , calculation and properties of the mathematical expectation are discussed 摘要对一类单调可微的有界函数，利用相对变化率的概念，定义了一种由该函数生成的概率密度函数。
