Research of Neural Network Algorithm based on Bayes Theory

The neural network algorithm based on Bayes theory was researched in this paper. Using the Bayes method to confirm the parameters, the number of the parameters could be adjusted by the neural network, so as to get the optimization parameters of the objective function. So the generalization ability of the neural network was enhanced. The algorithm was proved to be feasible by compiling the simulation software.