The occurrence of financial risk will have a great impact on the continuous operation of enterprises, which may lead to significant losses of enterprises and even cause bankruptcy of enterprises. With the increasing downward pressure on the domestic economy, economic transformation and upgrading, and the black swan event of the novel coronavirus epidemic, the operational pressure on listed companies has continued to increase, and the delisting risk of listed companies has gradually emerged. This paper mainly studies the enterprise financial risk early warning based on deep NN(NN). This paper first defines the concept of financial early warning and BP NN, and uses BP NN to construct the financial risk early warning model of listed companies. The model is trained and empirically analyzed. The results of empirical analysis show that the research of this paper is conducive to the development of indicators and methods for the prediction of financial risks of listed enterprises, which is conducive to the reference of regulators and investors.

Xiao Zhang and Min Zhang. Enterprise Financial Risk Early Warning Based on Deep Neural Network. International Journal of Neural Network (2021), Vol. 2, Issue 1: 27-34. https://doi.org/10.38007/NN.2021.020104.

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