Prediction of the impact of college students' behavior on employment rate

Inhalt:
With the rapid development of artificial intelligence and the continuous improvement of prediction methods, analyzing and researching the changing trend of student employment, optimizing the direction of teaching improvement, and improving the employment rate of students have a good role. This paper mainly introduces several key factors that affect employment based on the behavior of college students, establishes a BP neural network employment rate prediction model, and predicts the employment rate of recent graduates by training and learning the employment rate of recent graduates. Comparing the training results with the real employment rate, the error is less than 2%, which shows that the employment rate prediction model based on BP neural network has practical value.