Research on Markov Method Based on Multi-Parameter Variable Fusion

A multi-variable coupling prediction model can avoid the limitations of single parameter prediction. Markov's theory proposes a multi-parameter variable fusion Markov method, which provides a new modeling idea for the multi-parameter variable array prediction model. In this paper, firstly, the state space set determination method is described, and then the theoretical part of the multi-parameter variable fusion Markov method is deduced. Compared with GM (1,1), the prediction performance is improved by 50%. The proposed method's effectiveness and reliability are verified, which provides an effective and feasible method for multi-array prediction.