1. Secondly, through the use of techniques of Markov chain analysis, the equilibrium state of the system can be established.

2. In between these two extremes you will find Markov chains.

3. Another example of a Markov chain is the movement pattern of a business executive who visits four cities each week.

4. Commingled in an endless Markov chain!

5. An abridged algorithm of 2 D hidden Markov chain model and its parameter estimation method are made.

6. A city's yearly water consumption is a homogeneous Markov chain.

7. Markov Chain prediction is based on analysis of previous statistics.

8. By using the Markov chain theory, the stochastic propagation of cracks in welded line is studied To deal with the repair problem, a con- ceptnamed"equivalent operation cycle"is proposed.

9. Then, the importance sampling Markov Chain simulation is employed to generate the failure samples, called conditional samples, distributing as the conditional probability density function.

10. The Markov chain Monte Carlo move plus Gaussian white noise is used in sample variance and breeding, and the MH sampling algorithm is used to select sample, too.

11. And the feature and feasibility of Markov Chain Evaluation has also analyzed using the practical examples.

12. In this paper, A new markov chain monte carlo algorithm for estimating stochastic volatility model is given.

13. Secondly, homogenous Markov chain is applied to modeling the nodal flow series, and the universal set of the nodal flow simulated series is gained.

14. This feature is called the Markov property and a sequence of observations possessing this property is called a Markov chain.

15. This paper takes the knowledge-base architecture as an example to study the corresponding problem of the alignment. At last, Temporally homogeneous Markov chain is used to modeling ...

16. Generally, it is not easy to find the exact tail-estimation for the distribution of the minimum value in partial sum sequence of a stationary ergodic Markov chain.

16. try its best to collect and create good sentences.

17. In order to extend the short-term wave records, the statistical correlation model of wave heights between two close wave stations is investigated and established by using the Markov Chain theory.

18. In this method, a business process was regarded as a finite stationary Markov chain.

19. To avoid the "over-maintenance" or "under-maintenance" in generator set maintenance decision, a maintenance strategy based on Markov chain state estimation model is presented.

20. On the basis of introducing the basic principles of DFH, the process of frequency hopping is modeled as the homogeneous Markov chain.

21. We adopt a stochastic method and develop a two-state Markov chain model to formulate the collaborative freight consolidation problem.

22. Based on introducing the basic principle of DFH, the process of frequency hopping is modeled as a homogeneous Markov chain.

23. In this paper, we research that the induced series of this model is geometrically ergodicity Markov chain and this model is adjoint geometrically ergodic.

24. The queueing process on the loop is modeled as a two-dimensional Markov chain, the queueing behavior is evaluated using the generating function approach.

25. A residence time distribution mathematic model by continuous - time Markov chain was built up.

26. In this paper a theorem on translating DHMM into Homogeneous Markov Chain is presented. The theorem offers a method of using Homogeneous Markov Cain which is perfect in theory to study DHMM.

27. This paper holds up a location track arithmetic which bases on Markov chain cooperating to correlation detection range gate and derives the implementation method of the location track arithmetic.

28. Every test may list a result. The mutual independence and wide meaning Bernoulli's test rank is a simple homogeneous Markov chain.

29. For gated service discipline, the generating functions of waiting time of customer and polling cycle time are derived, and, by using Markov chain theory, mean of queue length is obtained.

30. In chapter two, the basic knowledges of finite state automata and finite homogeneous Markov chain are introduce.

31. According to the measurement of flow field for the opposed tetra-burner gasifier, the gasifier was divided into several regions and the Markov chain states transfer diagram was formed.

32. Markov chain models of cumulative damage have been provided a comprehensive descriptions of cumulative damage processes.

33. Theoretical performance analysis of this protocol with the message length given by the geometric distribution, based on Markov Chain theory, is presented.

34. This paper proves the ordinary nature about information entropy increase of the limited state Markov chain.

35. The series are calculated and analyzed by correlation analysis, stochastic simulation, Monte Carlo, and Markov chain, Monte Carlo, so a group model of risk function is established.

36. This developed the predictable method of Markov chain and widened the practice range.

37. In this paper, the main behaviors of PLN (Probabilistic Logic Neuron) networks are investigated quantitatively using Markov chain theory.

38. A traffic load forecast model by optimally combined Markov chain is presented.

39. The Markov chain model and the transition probability matrices of buried pipeline system are introduced.

40. Markov chain: discrete - time Markov chains, classification of states, ergodic, stationary distribution.

41. Spectral radius is an important global characteristics of an irreducible Markov chain.

42. The mutual independence and wide meaning Bernoulli's test rank is a simple homogeneous Markov chain.

43. Using cumulative probability to estimate the possible stage of earthquake occurrence can fulfill the origin time of Markov chain.

44. Markov Chain is suitable for short-term forecast of great capacity sample data sequence, but gray system forecast method is suitable for medium-term forecast of few capacity sample data sequence.

45. Then a Markov chain model is constructed based on variable - length patterns to detect abnormal behaviors.

46. This paper takes the knowledge base architecture as an example to study the corresponding problem of the alignment. At last, Temporally homogeneous Markov chain is used to model for knowle...

47. Secondly, this paper argues the convergence of Algorithms and introduces the analyzing convergence by Markov chain.

48. In this paper, the completely ergodic Markov chain with rewards is considered. A definition of reliability in probability form is given,[http:///markov chain.html] based on the frequency form as used in engineering.

49. The work also presents an analytical model using a three - dimensional Markov chain.

50. Given the observed hydrological data, the model can estimate the posterior probability distribution of each location of change-point by using the Monte Carlo Markov Chain (MCMC) sampling method.

51. The model based on S-ALOHA protocol is analyzed in this paper, and the throughput performance of S-ALOHA is computed by the method of Markov chain and the discrete time queue system.

52. The total fatigue damage distribution is analyzed based on a Markov chain of the fatigue damage.