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This article tries to build the competitiveness evaluation index system of Chinese online peer-to-peer lending platforms covering 6 first class indicators and 16 second class indicators from the perspectives of apparent competitiveness and connotative competitiveness, after which a competitiveness evaluation model of 16-10-1 structure is established based on back propagation artificial neural network, followed by empirical studies on the competitiveness of Chinese online peer-to-peer lending platforms to verify the effectiveness of the Model.

Evaluation on the Competitiveness of Chinese Online Peer-to-Peer Lending Platform Based on Back Propagation Artificial Neural Network