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- continuous time Markov chain (CTMC) 连续时间马尔可夫链
- continuous time Markov chain 连续时间马尔可夫链
- Sensitivity Analysis and Performance Optimization of a Class of Continuous Time Markov Chains 一类连续时间Markov链的灵敏度分析和性能优化
- Transient Analysis of Rewarded Continuous Time Markov Model by Regenerative Randomization with Laplace Transform Inversion. 论文题目:借助拉氏逆变换,运用随机反馈策略对马尔科夫时间连续模型作瞬变性分析。
- The algorithm can be used to solve the reducible finite state discrete time Markov Chains,especially to solve the Markov Chain which has trancient states and can be partitioned into many partitions. 本算法对求解有限状态离散时间可约马尔科夫链，尤其是当马尔科夫链有非常返状态且可分成多个块时就非常适用。
- Discrete Time Markov Chains(DTMCs) of the model was presented by using probabilistic model checking technique. Compared with two familiar time out schemes belonging to predictive schemes by PRISM,the energy efficiency of this scheme is better as a whole. 然后应用概率模型检测技术将其建模为DTMCs,并使用PRISM对这一策略和DPM中另外两种常用预测策略进行了比较,结果表明这一优化策略对网络的拥塞、延时及可靠性影响较小,其总体节能效果优于上述两种预测策略。
- A Markov Chain Approach to Baseball. 用于棒球。
- A Markov Chain Model of Tornadic Activity. 龙卷风活动的马尔科夫链模式。
- continuous - time markov chains 参数连续Markov链
- Commingled in an endless Markov chain! 合成一条无穷无尽的马尔可夫链！
- Finance Theory in Continuous Time. 时间连续金融理论。
- A residence time distribution mathematic model by continuous-time Markov chain was built up. 将连续时间马尔科夫链与多级全混流串联模型结合建立停留时间分布数学模型。
- In this proposal, we first introduce three important analysis tools in STPN, called invariants, reachability, and relative continuous Markov Chain. 在这篇 计划中，我们将先介绍随机过程时间派翠网路的永不变特性、可到达性及连续马可夫关 联模式。
- Considering the ruin problems under the discrete time insurance risk model with interest, we proof the surplus is Markov chain. 本文讨论了固定利率下的离散风险模型,首先证明了资产盈余构成一个齐次马尔科夫链,并给出了其转移概率。
- This paper will first introduce BMS, then study BMS by Markov chain in stochastic process and INAR(1) model in time series. 本文对BMS进行了介绍，并分别利用随机过程中马尔可夫链的知识和时间序列中的INAR(1)模型对BMS进行了研究。
- It supports continuous time, discrete time, and line and unline system. 所以它特别适用于对电子系统进行计算机仿真。
- Many predict methods are based on continuous historical datas in our lives, but we can predict the future very well using the Markov chain with few recently datas. 摘要生活中大部分的预测方法都是在大量连续不断的历史资料基础上预测的，而利用马尔可夫链方法只需要近期的资料就可以很好的预测未来。
- Based on the Markov chain, this paper investigates the time variant system reliability of brittle structure under multiple time varying loads. 对由脆性材料组成的结构，应用马尔可夫链分析了系统在时变载荷作用下的时变可靠性问题。
- A traffic load forecast model by optimally combined Markov chain is presented. 提出了一种基于最优组合马尔柯夫链的业务量预测模型 .
- 7.The algorithm can be used to solve the reducible finite state discrete time Markov Chains,especially to solve the Markov Chain which has trancient states and can be partitioned into many partitions. 本算法对求解有限状态离散时间可约马尔科夫链，尤其是当马尔科夫链有非常返状态且可分成多个块时就非常适用。
