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后验分布

与 后验分布 相关的网络例句 [注:此内容来源于网络,仅供参考]

Another way to approximate the posterior state distribution is Monte Carlo simulation.

对目标后验状态分布近似的另一条途径是Monte Carlo仿真。

Within methods of this class, tracking is solved by sequential building posterior probability distribution of target state, and sampling based Monte Carlo computing acts as one of the key technologies.

这类方法通过序贯构造目标状态的后验概率分布来求解跟踪问题,而基于抽样的蒙特卡罗计算方法则是其中关键的统计计算技术。

The state posterior probability distribution resolved by theKalman filter is not approaching resolution.

通过Kalman滤波器求解出的状态后验概率分布是解析解,而不是近似逼近值。

The results demonstrate that SCEM-UA algorithm is well suited to infer the posterior distribution of Xinanjiang model parameters. The results of calibration and validation indicate that it is a feasible and effective for optimization and uncertainty assessment of Xinanjiang model parameters.

结果表明,该算法能很好地推出新安江模型参数的后验概率分布;率定和检验结果比较分析也表明,应用SCEM-UA算法对新安江模型进行优选和不确定评估是有效和可行的。

In order to increase the detection speed, by using mixing particle sets to express the posterior probability distribution and adopting the Monte Carlo numerical methods to calculate the mixing weights, the fast fault detection algorithm is proposed based on the estimate window method.

为了提高故障检测的速度,采用混合粒子集表达后验概率分布,并由Monte Carlo数值方法优化得到各粒子集的加权值,据此提出了基于估计窗的快速故障检测算法。

So, if know semiotic condition of the patient, what can be based on card of M* plan cipher out to await concealed variable is posterior probability distribution, reach thereby differentiate card result.

所以,假如知道病人的症状情况,就可以基于M*计算出证候隐变量的后验概率分布,从而得出辨证结果。

In this paper we specify the posterior probability to be Gaussian mixtures and using a standard EM algorithm to fit the corresponding parameters of the mode.

在试验中假设影像的后验概率符合混合高斯分布,并利用EM算法化解模型中的参数。

The paper also discusses the posterior robustness of the fusion prior distribution based on this method.

并讨论了由该方法得到的融合先验分布的后验稳健性。

Meanwhile, for the characteristics of plant disease spot, segmentation model was created by utilizing the local correlated characteristic of Markov random field and linear stationary auto-regression model formed by Gauss distribution, and self-adaptive segmentation of plant disease spot was realized through optimizing the model with improved ant colony algorithm and maximum a posteriori probability estimation of Gauss-Markov random field.

同时,利用Markov随机场的局部相关特性并结合Causs分布组成线性平稳自回归模型,针对植物病斑特征建立分割模型。最后,采用改进型蚁群算法对其进行优化,并结合Gauss-Markov随机场最大后验概率估计,实现对植物病斑的自适应分割。

Using it we can approximately obtain the expectation of any function,using the certain quantity the random sample particle to express the posterior density of random variable in the model,and can be used in the any non-linear random models.

粒子滤波算法是一种适用于非线性非正态约束的基于模拟的统计滤波算法,可以近似得到任意函数的数学期望,利用一定数量的随机样本粒子来表示模型中随机变量的后验概率分布,并且能应用于任意非线性随机模型。

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