Improved Genetic Algorithm to Optimize BP Neural Network

Aiming at the problems of slow convergence speed and local minima of BP neural network, this paper uses an improved genetic algorithm to optimize BP neural network. The mutation operator of the genetic algorithm is improved to further improve the performance of the genetic algorithm, so as to better optimize the BP network. Experiments show that the improved algorithm has faster optimization speed and stronger search efficiency, and can play a better role in optimizing BP neural network.