Research on Preprocessing and Postprocessing of the Application of BP Neural Network

During the application of BP neural network, some techniques in statistics are adopted. The principal component analysis is used as the preprocessing to select and optimize the sample set. The regression and correlation analysis is used as one of the postprocessing to analyze the result of training; the confidence interval analysis is used as the other postprocessing to predict the confidence bounds of output. All of these processes can be a necessary supplement of the research on the application of BP neural network.