The design of college student achievement management system based on GA-BP network

As computer technology gets better, higher education and teaching work are becoming more dependent on the score management system. The performance system has a substantial amount of student curriculum data, how to effectively analyze these data improve quality school is problem worthy in-depth study. This study integrates genetic algorithm neural network basis BP create GA-BP hybrid that addresses network's issues, such as its proclivity fall into local minima slow convergence speed. improves connection weights thresholds using algorithms' global search capability so can from better initial value complete optimization quickly. According needs achievement management, this research designed developed realized application in validated feasibility model used predict graduation scores MATLAB software simulation experiments. results show make accurate prediction unknown by existing course scores, use carry out academic warning prompts for students, help students strengthen their professional knowledge learning, colleges universities adjust work.