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%.

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