Research on student academic precaution model based on IWPA-BP neural network algorithm

In this paper, a Back Propagation (BP) neural network prediction method based on improved wolf swarm algorithm (IWPA) is proposed to study students' academic early warning. The improved wolf pack algorithm has strong search ability, excellent solution ability and fast convergence speed. It can optimize the initial weight and threshold of BP neural network and improve the nonlinear fitting ability of prediction model. The simulation results illustrates that the prediction algorithm has better effectiveness in optimizing accuracy and improving convergence speed in student academic precaution based on UCI data set.