Using the method of artificial neural network and principal component analysis (PCA) to study a variety of numerical forecast products for the same precipitation forecast. The results show that the fitting accuracy of the principal component analysis artificial neural network ensemble model is better than each sub product, and the experimental results of the independent sample also show its better prediction accuracy and stability. The model is a good prospect for operational applications.