Research on Crisis Warning Model of Enterprise Finance Based on Deep Learning

Yeming Chen, Xinyuan Han
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Abstract

Looking for an effective financial crisis early warning method is of great significance to China's economy and company development. This paper fully considers the internal factors that affect the financial situation of enterprises, and establishes a financial early warning index system composed of eighteen secondary indicators. This paper uses LSTM neural network in deep learning to establish an early warning model. The results show that the prediction accuracy of the early warning model based on deep learning can reach more than 85%.
基于深度学习的企业财务危机预警模型研究
寻找有效的金融危机预警方法对中国经济和企业发展具有重要意义。本文充分考虑了影响企业财务状况的内部因素,建立了由18个二级指标组成的财务预警指标体系。本文利用LSTM神经网络在深度学习中建立预警模型。结果表明,基于深度学习的预警模型预测准确率可达85%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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