Application of neural network model to Guangxi ensemble precipitation prediction

Using the method of artificial neural networks and principal component analysis (PCA) to study on a variety of numerical forecast products for the same precipitation forecast. The results showed 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 samples also shows its better prediction accuracy and stability. The model is a good prospects for business applications.