Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

March 31, 2023


Pages

3553-3566


DOI

Article

Research on forecasting model of corporate financial crisis based on pattern recognition and artificial intelligence

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Authors

Dongyun Li Affiliation:
Jilin Economic Management Cadre College, Changchun, Jilin 130021, China


Abstract

In today’s rapid development of the economic environment, the company’s financial crisis can significantly reflect the enterprise crisis, and it has a significant impact on the development of the enterprise. Therefore, the prediction of the company’s financial crisis and the establishment of an early warning system have important practical significance. Based on the method of pattern recognition and artificial intelligence, this paper establishes a new forecasting model of corporate financial crisis, predicts its financial index data and realises the dynamic financial crisis warning. The model developed in this paper employs pattern recognition and artificial intelligence, and is thus endowed with high classification accuracy, good anti-noise ability and the ability to be sorted according to the importance of its index features.


Keywords

financial crisis, artificial intelligence, pattern recognition, financial forecasting


Citation

Li, D. (2021). Research on forecasting model of corporate financial crisis based on pattern recognition and artificial intelligence. Applied Mathematics and Nonlinear Sciences, 6(2), 3553–3566. https://doi.org/10.2478/amns.2021.2.00268
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