The PCA-BP Neural Network Model of Evaluating Integration Degree of Chinese Logistics and Manufacturing

This paper uses principal component analysis(PCA)-BP neural network model to evaluate the degree of the logistics industry and manufacturing integration, for more complex indicator system on the retention of the large number of indicators of information. The evaluation results demonstrate that the effectiveness of the evaluation models and methods.