| Issue |
MATEC Web Conf.
Volume 336, 2021
2020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|
|
|---|---|---|
| Article Number | 09010 | |
| Number of page(s) | 6 | |
| Section | Computer-Aided Advanced System and Management | |
| DOI | https://doi.org/10.1051/matecconf/202133609010 | |
| 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: 1923418773@qq.com
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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