Improved BP Neural Network Based on Simulated Annealing

The BP neural network based on simulated annealing algorithm is given out in this paper, the method uses the simulated annealing algorithm to find a more optimal subset of samples, to train the BP neural network. Through theoretical analysis and experimental simulation proved that not only the time and the number of iterations is shorten, the accuracy of BP neural network is significantly improved.