Rearch on AI industry prediction based on Markov model

Abstract

Artificial intelligence has become the core driving force of a new round of industrial transformation, and scientific and accurate artificial intelligence industry development prediction is of great strategic significance for improving the quality of industrial development and future industrial chain development planning. Taking the development of artificial intelligence industry in Tianjin as an example, the future development trend of artificial intelligence industry is predicted and analyzed by the quantitative comparison and analysis of Markov linear programming mathematical model. Using variable substitution method, the quadratic programming model is transformed into a linear programming model, which not only has mature solution software, but also can be solved analytically, which is more convenient and reliable. The Markov property programming model reduces the time, simplifies the complexity, reduces the difficulty of model solving, and the prediction accuracy value is high, with the average error value accounting for 2.96%, 2.07%, and 5.03%. Finally, combined with the artificial intelligence refinement industry, the countermeasures to cultivate and accelerate the development of artificial intelligence industry in Tianjin are discussed from three levels: basic industry support, technology industry innovation and application industry expansion.