Abstract:The extension theory and method are applied to the study of Markov processes for the first time. Gives the concept of process element and process element probability function, the correlation analysis principle and extension transformation were used to study the probability function of the step conduction Markov process transfer, given the Markov process in the concept of a step transfer element taking values of a certain value and one step transition probability function. In this paper, we use the correlation, extension transformation and conduction transformation to study the one-step conduction transfer process element and the one-step transfer probability function. The case study shows that this method can provide a new way to solve the problem of a class of Markov processes.
王 丰,顾佼佼,曹 倩,王伊婧心,田 园. 马尔可夫过程的传导转移概率及工程研究应用[J]. 华中师范大学学报(自然科学版), 2018, 52(6): 773-777.
WANG Feng,GU Jiaojiao,CAO Qian,WANG Yijingxin,TIAN Yuan. The transfer probability of Markov process and its application in engineering research. journal1, 2018, 52(6): 773-777.