Modeling and Simulation of Financial Crisis Warning System Based on RBF Neural Network

摘要

In this paper, a financial crisis early warning model based on RBF neural network is established, and the 263 industry's financial indicators are used as a training set for the neural network training, and the 76 industries financial index are used as inspection sample. The results of the model show that the RBF neural network model is superior to the custom model and obtain high precision for the special industry. Through the model simulation and result analysis, the model can provide the decision makers with accurate and reliable advice.