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Aiming at the over fitting problem of BP neural network algorithm, this method is put forward to calculate the value of the regularization parameter applied to L2 regularization by using the concept of the first order origin moment, the two order origin moment, the variance and the maximum likelihood estimation.This method based on the X matrix of data sets to compute four value.Compared with the Bayesian regularization method used to train the BP neural network, Bayesian regularization method is depend on the prior distribution and the distribution of data dependence. The calculation method in this paper is simple and has no application conditions. In BP Neural Network handwritten digit recognition experiments, this method compared with the Bayesian regularization method improve the correct rate about 1.14-1.50 percentage points. Therefore, the method in this paper makes the algorithm more efficient.This method is validity.