1) Bayes method
Bayes法
1.
The substructure method is applied to study the interaction between arch dam and its abutment and the stochastic mechanical parameters of the fault belt are estimated by means of Bayes method.
利用Bayes法对错动带的力学随机参数进行了估计,将裂隙岩体材料参数看作是空间随机场,引入区域化变量以反映其在空间上的随机性和相关性,用变异函数反映了岩石力学参数区域化特征,用克里格方程对各单元材料参数进行了估计。
2) Bayesian method
Bayes法
1.
To verify some six-degree-of-freedom simulation model of ballistic missile,various Bayesian methods which were suit to small sample export were studied according to the character of data output from missile weapon system in this paper.
为验证某导弹系统六自由度仿真模型,根据导弹武器系统输出数据的特点,讨论了适于小样本输出统计分析的Bayes法。
3) Bayesian approach
Bayes方法
1.
Assessment of seepage time-varying risk rate for embankments and dams based on Bayesian approach;
基于Bayes方法的堤坝时变渗流风险率评估
2.
Application of Bayesian approach to accident rate analysis of outlet gates;
Bayes方法在水工泄洪闸门事故率分析中的运用
3.
Bayesian approach of performance reliability assessment of solid rocket motors;
固体火箭发动机性能可靠性评估的Bayes方法
4) Bayes method
Bayes方法
1.
Bayes method of optimizing geotechnical parameters based on two-dimension normal distribution;
基于二维正态分布的岩土参数Bayes方法优化
2.
Bayes method to estimate human error probabilities;
Bayes方法在人误概率估计中的应用
3.
The FUZZY BAYES method to infer distribution of rock parameters;
岩土参数概率分布推断的模糊BAYES方法探讨
5) Bayesian method
Bayes方法
1.
Hierarchical Bayesian method on the basis of maximum posterior risk;
基于最大后验风险的多层Bayes方法
2.
Analysis of multivariate normal stress-strength reliability based Bayesian method
基于Bayes方法的多元正态应力强度可靠度分析
3.
Aiming at the small sample of strapdown inertial measurement unit(SIMU) successive test data,a Bayesian method was used to study its statistical characteristics.
针对捷联惯性测量组合(捷联惯组)历次测试数据小样本的问题,提出了通过Bayes方法研究捷联惯组历次测试数据的统计特性。
6) Bayes algorithm
Bayes算法
1.
The Bayes algorithm which is good for small sample experimentation was applied to determine the exact and reliable model parameters.
为确定准确可靠的模型参数,引入适用于小子样抽样试验的Bayes参数确定算法,并通过实例证明,应用Bayes算法所确定的模型参数比传统的算法估计值,具有更高的可靠性和准确性。
补充资料：Bayes公式
Bayes公式
Bayes formula
Ba孵s公式l枷yesl奄旧llula;B哺政，加pMyJI.} 一个公式，利用它可由事件(或假设)的先验概率计算其后验概率.设A、，…，A。是互斥事件的一个完全组:日A一。，A厂)A二⑦(i有).则在给定事件B，p(B)>0，发生之下，事件4，的条件概率户(A，}B)可由Bayes公式 P‘A.、P(B IA‘) p(A，!B)==一丁一一一一一一一(，，· 艺p(A，)p(Bl刀，) 口二几求出，这里P以)是A的先验概率，户(B}A，)是在给定事件A(尸以)>0)发生的条件下，事件B的条件概率，这公式是T.Bayes在1 763年证明的. 公式(*)是下述抽象化的Bayes公式的一个特例.设口和七为取值于可测空间(0，B砂和(X，Bx)的随机元，且E}g(0){<抢，对任一集合A任凡二可。:心伽)}，令 G‘A’二艺“‘“‘·，，〔“月‘。，，厂。’‘。，尸‘d·，，这里凡二a伽:口回)，而众回是集合A的指示函数，则测度G对测度户为绝对连续(G《P)，且〔!g(0)}乓1回二(dG/dP)伽)，后者是G对P的Radom一Niki心ym导数.
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条