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1·Bayesian is one kind of method of posteriori probability obtained from priori probability according to new information.

贝叶斯方式是依据新的信息从先验概率得到后验概率的一种方式。

2·SD as the initial model to the maximum a posteriori probability method in 150 training samples to identify the best, can reach 90.4 .

以SD为初始模型的最大后验概率方法在150个训练样本时识别效果最好，可以达到90．4％ 。

3·A posteriori probability analysis method was proposed based on a parallel optimization algorithm, and applied to quantitative analysis of matched inversion results.

构造了一种基于并行优化算法的后验概率分析算法，用于对匹配场反演结果进行定量的概率分析。

4·Examples based on synthetic data show that posteriori probability analysis for matched field inversion can be conducted effectively by the proposed parallel optimization algorithm.

匹配场反演仿真算例表明，该算法能有效对反演结果进行概率分析。

5·Through the idea of minimal conflict sets, the probability of all the possible system states can be obtained and the posteriori probabilities of a component in ce.

当系统的观测与预期不符合时 ，利用最小冲突集的概念得到系统可能的状态 。

6·Through the idea of minimal conflict sets, the probability of all the possible system states can be obtained and the posteriori probabilities of a component in ce.

基于逻辑的故障诊断方法中一个没有解决好的问题就是如何求得所有极小冲突集。