MATEC Web Conf.
Volume 336, 20212020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|Number of page(s)||6|
|Section||Computer-Aided Advanced System and Management|
|Published online||15 February 2021|
Credit of small and medium sized scientific and technological enterprises based on BP neural network Evaluation research
1 Doctor of economics, Professor, master supervisor of Shanghai Institute of Technology, Research direction: financial science and technology ; 201418 Shanghai China
2 A graduate student, majored in management science and engineering, Shanghai Institute of Technology. Research direction: innovation and development of financial science and technology. 201418 Shanghai China
* Corresponding author: firstname.lastname@example.org
Aiming at the problem of credit evaluation of science and technology-based small and medium-sized enterprises in China, a credit evaluation system based on machine learning is proposed. A total of 17 indicators are selected from five aspects of solvency, profitability, operation ability, growth ability and R & D ability. Finally, 11 representative indicators are selected. Then through BP neural network algorithm to build a credit evaluation model, training and Simulation of the credit rating of science and technology-based SMEs. The results show that the evaluation model has good generalization ability, and can effectively evaluate the credit of science and technology-based SMEs.
© The Authors, published by EDP Sciences, 2021
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