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Optimization of Bank Credit Customer Financial Rating Model Based on Artificial Intelligence Algorithm

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2021 International Conference on Applications and Techniques in Cyber Intelligence (ATCI 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1398))

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Abstract

At present, financial analysis is still the main method to evaluate the risk of corporate credit customers. However, the design and modification of financial analysis model in credit practice are mostly based on the statistical data and experience of a certain section, which is not scientific and verifiable. In this paper, we try to apply the genetic algorithm model in the field of artificial intelligence to establish a set of solutions for the continuous iterative optimization of financial model parameters, and preliminarily verify its effectiveness, and discuss its possible shortcomings and development direction.

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References

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Acknowledgements

Optimization of Financial Rating Model for Bank Credit Customers Based on Artificial Intelligence Algorithm by the Provincial Basic Business Fee Project of Harbin Institute of Finance(2018-KYYWF-E007).

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Lin, L. (2021). Optimization of Bank Credit Customer Financial Rating Model Based on Artificial Intelligence Algorithm. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Advances in Intelligent Systems and Computing, vol 1398. Springer, Cham. https://doi.org/10.1007/978-3-030-79200-8_105

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