Combination of intelligent prediction model based on BP neural network and its application

Based on the existing theory of intelligent prediction, this paper applies BP neural network to integrate a variety of intelligent forecasting models, which makes the model approximate the trend of things well, and use back-propagation algorithm to train the network. Lastly, the author applies the integrate model to forecast the quantity of science and technology staffs. The conclusion shows that: the integrate model composed of intelligent prediction methods based on BP neural network can greatly improve the predictive accuracy, better than a single model and linear combination.