Competitiveness Evaluation in Commercial Banks Based on Principal Component Analysis and Neural Network

This thesis regards competitiveness of commercial banks as the research object which establishes the model of BP neural network based on principal component analysis, considering operational characteristics of bank. The results of empirical study prove that the model has both their respective advantages and this model can greatly simply the structure of neural networks and reduce training time. Then, the result of the case verifies the validity and availability of the model.