夫法的核心是确定状态转移概率矩阵。
The core of Markov method is to decide the state transferring probability matrix.
研究表明灰色理论可以提高基于马可夫链的状态转移概率矩阵的精度。
Gray theory can improve the precision of pavement evaluation by constructing Makov-chain based transitional probability matrix of pavement structures.
建立马尔可夫模型并由马尔可夫状态转移概率矩阵计算出程序的可靠度。
We also present how to compute the reliability of a program based on factoring method and Markov model.
利用广义转移概率的定义和关键部件优先维修的规则,求得了该系统的状态转移概率矩阵。
Using the definition of generalized transition probability and the rule with priority to repair the key component, the state transition probability of the system is derived.
CDCPM用中心距离正态(CDN)分布描述模型特征空间,去掉了H MM的状态转移概率矩阵a,对HMM进行了简化和改进。
CDCPM describes the feature space of model by center distance normal distribution (CDN), and simplifies and improves the HMM efficiently by getting rid of the state transition probability matrix a.
在求得状态转移矩阵后,再建立离散动态事件树,来求得系统故障概率。
After calculating the matrix, the discrete event tree is established and used to solve the system fault probability.
在求得状态转移矩阵后,再建立离散动态事件树,来求得系统故障概率。
After calculating the matrix, the discrete event tree is established and used to solve the system fault probability.
应用推荐