Main Article Content
The accurate prediction of Physical Education Achievement provides a reliable analysis basis for the establishment of physical education teaching objectives, and a physical education achievement prediction method based on genetic neural network is proposed. The model is based on neural network. Particle swarm optimization algorithm updates particle position and speed through individual extreme value and global extreme value, and optimizes the variance and weight of neural network to enhance the accuracy of sports performance predicted by neural network. Compared with the traditional methods, the convergence speed of this method is faster, the error is lower, the prediction result of sports performance is more accurate, and has high anti noise performance and practicability.