Application and research of BP and RBF neural network on equipment cost modeling and forecasting

BP neural network and RBF neural network are made of equipment cost modeling and forecasting in this paper, based on the characteristic of equipment cost and structure of BP neural network and RBF neural network. The application range and condition of the both neural networks are presented for analyzing result. A new method is advanced about BP network. The method tan enhance training rate and imitating precision when latent node number and training error do not change or change latent node number do not accurately imitate data curve. A demand of training data is indicated in order to ensure BP network to imitate arbitrary continuous non-linearity function. The paper has biggish direction meaning when BP neural network and RBF neural network are used to deal with big input and output data like equipment cost.