Research on Early Warning System of Real Estate Financial Risk Based on Convolutional Neural Network

In the traditional sense, early warning models for real estate financial risks are based on economic-financial data. However, this method is not intelligent enough, takes a long time, and is too inefficient. Therefore, it is necessary to use new Internet technology to develop an efficient financial risk early warning system in the Internet age. Therefore, based on the above background, this paper reconstructs the above-mentioned real estate financial risk management system by integrating the relevant technical characteristics of neural networks. Then can accurately calculate the corresponding indicators to judge better the company’s economic situation and real estate financial risk. In the above design process, the characteristics of cost-sensitive learning are also considered in this paper, the structure of the neural network is optimized accordingly through the above method, and the indicators are more precisely defined.