Research on Corporate Financial Risk Warning Based on Gray BP Neural Network

The rapid growth of enterprises provides strong support for socio-economic changes. They are not only the driving force of economic development but also offer a powerful guarantee for the sustainability of the socio-economy. Therefore, researchers need to utilize artificial neural network technology and early warning indices to assess better and control economic changes, thereby protecting the sustainability of the socio-economy more effectively. To this end, researchers need to conduct comprehensive assessments of corporate financial risks, including classification, screening, and preprocessing of different indicators and adjusting weights of other indicators to identify better and control economic changes. By applying BP neural network technology, we can predict the changes in warning indices more accurately.