A Shared Financial Risk Warning Strategy Based on Deep Learning

Abstract

The financial sharing center also carries certain service risks while providing high-quality accounting services. To address such issue, this article proposes a financial sharing risk warning model based on deep learning. We have adopted a new perspective to construct a shared financial risk indicator system for enterprises, integrating important information in financial indicator data with gain information in annual report text. Then, an optimized algorithm is introduced to optimize the parameters of the deep learning model, and the model is used to mine historical financial data from multiple periods. Finally, using the relevant financial data of a listed company in Tai’ an DBS, as the testing sample, a neural network model is constructed by deep learning as a research tool. The selected early warning indicator data is imported into Matlab to train a deep learning neural network, to predict whether a company is in financial crisis. The experimental results show that the risk prediction algorithm based on deep learning can accurately predict the financial data trends of enterprises, which significantly improves the model’s generalization ability, and its prediction performance is better than traditional single objective optimization algorithms.