Efficiency appraisal of China commercial banks based on BP neutral network

On the ground of the widely chosen efficiency indexes of commercial banks, an index system based on principal component analysis and an efficiency appraisal model based on BP neural network are established. The new index system is built based on improved principal component analysis which keeps 92% of the original information with 7 indexes and avoids the influence of the correlation between different indexes on later appraise. 7 mainly influencing factors are found through direct obliquitous method. The information of diversity and inner influence between different indexes are kept through average-standard-method. An appraisal model based on BP neural network is set up which gets rid of the influence of the factitious subjective factors and fuzzy stochastic ones.