Feasibility study of launching mobile-based postgraduate research products based on artificial intelligence
Zeng Jian, Silu Xu, Xijing Lu · 2021
As people's enthusiasm for postgraduate entrance examinations has increased, mobile postgraduate entrance examination products have become increasingly important in the product market. By collecting the prices of domestic postgraduate entrance examination products from 2016 to 2017, a polynomial fitting curve mathematical model is established to predict mobile postgraduate entrance examinations. The purpose of the product price change trend. Aiming at the potential market share and development trend of the mobile end-of-study product, a Markov chain prediction method model and multivariate fitting are combined with genetic algorithms to perform intelligent prediction, and the contribution of each indicator is allocated according to the weight to obtain The relative importance of the indicators completes the possibility of launching a mobile end-of-year research product. The study also found that in different cities, the mobile terminal's feasibility is the same in different cities, and the model can indeed solve relatively many different universities. The city fully considers the characteristics of economic, social conditions and postgraduate education, and evaluates the possibility of launching mobile terminal postgraduate research products through computer artificial intelligence algorithm models.