Enterprise financial risk early warning model based on LSTM

With the continuous development of the global economy, the financial risk management of enterprises has become the key to the steady development of enterprises. However, the traditional financial risk early warning method often has some problems such as low prediction accuracy and weak adaptability. In order to solve these problems, the LSTM model is introduced to improve the accuracy and reliability of financial risk early warning. This paper first introduces the basic principle and advantages of LSTM model, and then elaborates the process of data selection, pre-processing, model building and training. Finally, through the analysis of the experimental results, the validity and practicability of the enterprise financial risk early warning model based on LSTM are verified.