Smoothing Optimization Algorithm of Quasi-Markov Process and Its Application
Tangsen Zhan · Shuxue de shijian yu renshi · 2012
By studying polishing method and the Markov Process,Markov Process is a method for interval forecasting,that largely bound the scientific nature of its forecast,In addition,polishing method itself is an iterative method,the fitting accuracy is still difficult to control.In this paper,a smoothing optimization algorithm of quasi-Markov Process is got through combining quasi-Markov matrix and polishing method and optimization tools. The example expresses smoothing optimization algorithm of quasi-Markov Process is more efficient than the others in the degree of approximation of the original data values,moreover, quasi-Markov matrix reply transition degree from a state to another state and this algorithm has better promotion and application.