Sales forecast based on BP neural network

A sales forecast model was designed based on BP (Back Propagation) neural network. The selection of network types, the determination of structural parameters, the processing of the network input and output data and other issues are also discussed. Experimental results show that the BP algorithm is applied to predict the contents of unknowing rules; it has higher accuracy and better predictive ability than the traditional regression analysis approach.