Describes computer simulation combining sensitivity statistic data and the Monte Carlo method in the process of evaluation for the reliability of electroexplosive subsystems, and a corresponding computer programme RMCEES.

After analyzing three scan and capture criteria on region identify, on duty ratio identification and on twice scans, the killing probabilities of MEFP intelligent mine are calculated by Monte carlo simulation.

针对MEFP智能雷，在分析区域识别、占空比识别、二次扫描三种不同扫描捕获准则的基础上，应用蒙特卡洛方法计算了毁伤概率。

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The concept of K-terminal residual connectedness reliability is extended to the network with link failures and a Monte Carlo method based on RVR is proposed to estimate it.

将K-终端剩余连通可靠度的概念推广到链路存在失效状态的网络模型上，并提出了计算该可靠度的基于RVR的蒙特卡洛方法。

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The paper reports a new method to deal with nonlinear Bayesian dynamic models by using NTM method, and gives the recursive formulation and the number character of the variables.

将NTM方法应用于非线性贝叶斯动态模型，给出了它的递推公式以及随机变量的数字特征的计算，与蒙特卡洛方法相比提高了效率和精度。

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An imaging simulation model based on GM-APD was established according to statistical optics theory and Monte Carlo method.

基于统计光学理论和蒙特卡洛方法建立了GM-APD成像仿真模型。

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The fracture probability was calculated also by using of Monte Carlo method of dual variable, method of JC and Monte Carlo method. The calculation results were compared and discussed.

又采用了对偶变量蒙特卡洛法、JC方法、蒙特卡洛方法计算焊接结构断裂失效概率，并比较和讨论了这些结果。

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After that, random sampling method of flow through pipes and pressure heads at nodes by Monte Carlo method is proposed, and to test the distribution of sample, SPSS software and skewness-kurtosis method are used.

利用蒙特卡洛方法对各管段流量和各节点压力进行随机抽样，并使用SPSS软件和偏度、峰度方法对其进行正态性检验。

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This paper introduces the basic principle of Monte-Carlo and researches the destruction efficiency of complex targets missile cargo warheads by method of Monte-Carlo, realized computer simulation with compile emulator program of Matlab language.

介绍了蒙特卡洛方法（Monte-Carlo）仿真的基本原理，并运用该方法对导弹子母弹战斗部对复杂目标毁伤进行研究，利用Matlab语言编制仿真程序实现了计算机仿真。

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The Application of Monte Carlo Method in the Design of Small Refrigeration Type Cryogenic Pump

蒙特卡洛方法在小型闭循环10K双级G-M制冷机低温泵设计中的应用

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Simultaneously, in order to obtain the diversity of tree structures, We coupled Monte Carlo procedure with a classification tree algorithm, and skillfully constructed a novel tree kernel by using the fuzzy pruning strategy and ensemble strategy.

同时为得到结构多种多样的树，我们将蒙特卡洛方法耦合到分类树算法中，通过使用fuzzy修剪和集成策略，巧妙地构造了一种新颖的树核。

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The Bayesian classification was systematically studied, first some of the relevant knowledge of probability theory was introduced, and the Bayes theorem was described, and then Bayesian classification algorithms, Bayesian networks, and weighted naive Bayesian classification were introduced. 3.

系统地研究贝叶斯分类，首先介绍相关概率论的一些知识，描述贝叶斯定理，然后介绍朴素贝叶斯分类算法、贝叶斯网络以及加权朴素贝叶斯分类。

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The main theories of Bayesian classification are discussed, including Bayes Theorem 、 Na? ve Bayesian classification and Bayesian Networks classification.

讨论了贝叶斯分类的主要内容，包括贝叶斯定理以及朴素贝叶斯分类和贝叶斯网络分类。

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Bayse classify is a statistical method based on Bayes theorem, which uses prior probability and sample information to calculate the posterior probability.

贝叶斯分类是一种基于贝叶斯定理的统计学分类方法，它是结合先验信息与样本信息计算出后验概率。

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Bayesian method is developed as system express and settle statistics problem based on Bayesian theory.

贝叶斯方法是基于贝叶斯定理而发展起来的用于系统阐述和解决统计问题的方法。

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In front of both uncertainty factor obtained by the expectation and variance of the historical data with a certain probability, the probability of the extension of the mandate based on Bayes' theorem is derived. 3.

前面俩个不确定因数由历史数据的期望和方差求得一定的概率，再根据贝叶斯定理，推导出任务延期的概率。

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Sequential Gaussian simulation with Bayesian upgrading can be used to incorporate seismic data of intermediate vertical resolution into 3-dimensional reservoir models. Given a specific seismic frequency, the resolution of model by this method can be improved.

引入贝叶斯定理的序贯高斯模拟方法，即贝叶斯序贯高斯模拟，用来整合中等垂向分辨率的地震数据，在给定地震频率的条件下，提高模型的分辨率。

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Then, based on the Bayesian theorem, prior distribution and likelihood function, we infer their joint posterior distribution, which belongs to the fa-( mily) of Normal-Wishart distributions.

利用贝叶斯定理，根据模型的样本似然函数和参数的先验分布推导了参数的后验分布；

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This paper demonstrate the method of how to map the primitive image features to the semantic interpretations of the image content, and how to implement interactive learning together with probabilistic search.

对遥感图像检索中基于贝叶斯定理的一系列处理方法进行研究，阐述如何在底层原始图像特征与高层语义图像特征之间建立映射，并利用贝叶斯网络进行交互学习和概率检索的方法。

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After analyzing several theory models of inductive reasoning, we use the Bayes Theorem to prove the premise probability principle, and integrate this theory with human mental process.

在分析多个理论模型的基础上，采用贝叶斯定理证明了前提概率原则，并将此原则与人类心理过程相结合，将归纳推理分解为连续进行的三步过程。

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In Expert system, usually probability is defined as subjective credit degree of experts to evidence and regulation, and Bayes theorem is key solution in probability reasoning.

在专家系统中，概率一般解释为专家对证据和规则的主观信任度，在概率推理中起着支撑作用的是贝叶斯定理。

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The method of solution is based on Bayes' theorem, used to find the best fit values of parameters and the associated covariance matrix.

以及基于贝叶斯定理的拟合方法，其用于求得参数和联合协方差矩阵的最佳拟合值，这些在本论文中都作了相应的介绍。

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