MarkoV相关论文
针对传统认知车联网（Vehicle to Everything，V2X）频谱感知受主用户频谱活动特性和车辆移动性的影响，感知性能较低，提出了基于Markov的主......
航天测控系统具有动态性、复杂性、可维修性、阶段间相关性等显著特征，作为航天器安全在轨运行的重要保障，其可靠性至关重要。针对航......
目的:通过卫生经济学评价的方法对广西3个示范县2013～2015年实施的大规模HIV筛查措施进行卫生经济学评价,并建立Markov模型分析其长......
相较于连续生产工艺,间歇生产过程的动态性、多样性、不确定性及人员依赖性等特点,使得间歇过程操作和控制难度增加,系统所面临的......
It（?）随机系统由于在人口统计、生物环境、经济金融、工程设计等科学领域中的广泛应用使其成为热门的研究课题之一.这类系统把高斯白......
地铁已逐步成为大中城市公共出行的重要方式之一,准确预测地铁各站点的日客流量能为地铁交通提供预警支持.该文针对传统灰色模型预......
With the increasing amount of splicing images, many detecting methods of splicing images are proposed.In this paper, we ......
建立一种高效的路由器性能分析模型在片上网络(Networks-on-Chip)设计初期至关重要.首先从片上网络路由器工作原理出发,分析数据包......
如何认识军事信息系统混合信道的误码特性是一个受到业界关注的十分复杂的问题。本文分析了四状态分群Markov信道模型的基本理论,......
本文分析了基于CA-Markov的土地利用变化动态模型，并利用北京市昌平区2001年与2005年两期土地利用矢量数据栅格化后进行了CA-Markov......
由于水体自身存在流动性,采用传统的生态风险评价方式无法保证其评价结果的准确性,为此提出Markov约束下受污染水环境生态风险评价......
We investigate the convergence of nonhomogeneous Markov chains in general state space by using the f norm and the coupli......
In this paper, we analyze the quasi-stationary distribution of the stochastic <em>SVIR</em> (Susceptible, Vaccinated, In......
A novel land cover classification procedure is presented utilizing the infor</span><span style=“font-family:Verdana;”>......
The stage of a tumor is sometimes hard to predict, especially early in its development. The size and complexity of its o......
The Generalized Markov Fluid Model(GMFM)is assumed for modeling sources in the network because it is versatile to descri......
<span style=“font-family:Verdana;”>In this paper we analyze and model three open problems posed by Harris, Insko, Prie......
Approximating Nash Equilibrium in Day-ahead Electricity Market Bidding with Multi-agent Deep Reinfor
In this paper,a day-ahead electricity market bidding problem with multiple strategic generation company(GEN-CO)bidders i......
Experimental Study of Methods of Scenario Lattice Construction for Stochastic Dual Dynamic Programmi
The stochastic dual dynamic programming (SDDP) algorithm is becoming increasingly used. In this paper we present analysi......
We propose a probabilistic approach to modelling the propagation of the coronavirus disease 2019 (COVID-19) in Madagasca......
Proposition 5.5.6(ii)in the book Markov Chains and Stochastic Stability(2nd ed,Cambridge Univ.Press,2009)has been used i......
The optimization model based on Markov chain is established to optimize the prediction of industrial structure and provi......
The post-disaster emergency medical rescue(EMR) is critical for peoples lives. This paper presents a stochastic Petri ne......
Sampled-Data Stabilization of a Class of Stochastic Nonlinear Markov Switching System with Indisting
This paper investigates the stabilization issue for a class of sampled-data nonlinear Markov switching system with indis......
We investigate the problem of H∞ state estimation for discrete-time Markov jump neural networks. The transition probabi......
Strong law of large numbers for Markov chains indexed by an infinite tree with uniformly bounded deg
In this paper,we study the strong law of large numbers and Shannon-McMillan (S-M) theorem for Markov chains indexed by a......
Convergence rates for reversible Markov chains without the assumption of nonnegative definite matric
Explicit convergence rates in geometric and strong ergodicity for denumerable discrete time Markov chains with general r......
Freidlin-Wentzell 的小随机的使不安的动态系统的基本性质打的一些被得到。引起注意的人的层次结构被构造，这结构的一些进一步的性......
The existence theorem of the optimal measurable coupling of two probability kernels on a complete separable metric measu......
To simulate a multivariate density with multi_hump, Markov chainMonte Carlo method encounters the obstacle of escaping f......
The concepts of π-irreduciblity, recurrence and transience are introduced into the research field of Markov chains in r......
Recently generalized exponential distribution has received considerable attentions.In this paper,we deal with the Bayesi......
Necessary and sufficient conditions for a maximal ancestral graph (MAnG)to be Markov equivalent to another MAnG and to a......
This paper deals with the optimal exponential convergence rate βto the equilibrium state in Boltzmann-Shannon entropy f......
Chain graph (CG) is a general model of graphical Markov models. Some different chain graphs may describe the same condit......
We consider a general piecewise deterministic Markov process(PDMP) X ={Xt}t≥0 with a measure-valued generator A, for wh......
We study a decomposition of a diffusion process in a manifold that is invariant under the action of a Lie group. As appl......
Nowadays,more and more interdisciplinary approaches have been applied in urban planning,such as computer,mathematics and......
An analogue method(AM) is a nonparametric approach that has been applied to predict the future states of a dynamic syste......
Lei E be a Hausdorff topological space and let A(E) be its Borel σ-field.Let m be a σ-finitc measure on (E,A(E)).A nec......
In sec.1, we introduce several basic concepts such as random transition function, p-m process and Markov process in rand......
河川径流预测是一个十分复杂的问题,生命旋回模型在进行径流趋势预测时具有对资料要求少、计算简单等优点,但由于模型机理的限制,......
研究使用基于一阶Markov模型产生相关的瑞利衰落包络。首先介绍产生相关高斯和复高斯随机变量的一阶Markov模型。对相关复高斯随机......
研究一类线性Markov跳跃区间时滞系统的鲁棒H∞故障检测滤波器设计问题.采用基于自适应观测器的故障检测滤波器作为残差产生器,将......
由于水文现象的不确定性及季节性,于是把水库入流描述为周期性的 Markov过程。水库运行的最优化包括:在连续时期内确定最优的泄水......
Markov Regime-Switching Generalized autoregressive conditional heteroskedastic(MRS-GARCH)model is a widely used appr......
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