利用概率分析和随机模型的密度演化方法，导出了系统的一些新的可靠性指标和最优检测策略。
The new system reliability indices and the optimal inspection policy are obtained by using probability analysis and the density evolution method in stochastic.
现代优化算法主要解决全局最优问题，其本质是概率性的。
The main objective of modern optimization algorithm is to deal with the problem of global optimum, which is essentially probabilistic.
贝叶斯学习是一种基于已知的概率分布和观察到的数据进行推理，做出最优决策的概率手段。
Bayesian learning is a probability method that makes optimal decision based on known probability distribution and recently observed data.
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