Research on the Training of Broadcasting and Hosting Talents in Colleges and Universities Based on SARIMA-BP Prediction Model

Abstract

In order to improve the employment adaptability of students majoring in broadcasting and hosting in colleges and universities, a prediction model is constructed by combining intelligent Seasonal AutoRegressive Integrated Moving Average (SARIMA) and Back Propagation Neural network (BPNN) in this study. This paper first analyzes the crisis faced by broadcasting professionals, and on this basis, SARIMA-BPNN model to analyze the demand of broadcasting professionals, taking Root Mean Squared Error as the evaluation index. The RMSE index value is 5.012, which shows that the SARIMA-BPNN model has a good prediction effect. Finally, this study predicts the changing trend of social demand for broadcasting talents, and then puts forward suggestions for the training of broadcasting host talents in colleges and universities to help promote the development of the training of broadcasting host talents in colleges and universities.