Prediction of Enterprise Financial Crisis based on Improved Neural Network

Neural network is a very important research model in human brain research, and it has been cross researched and applied in many disciplines and fields. Methods: However, there are some shortcomings in the neural network, such as long learning cycle and slow convergence speed. Results:Therefore, in this paper, the enterprise financial crisis prediction based on improved neural network was proposed. Then in the light of the shortcomings of the neural network, the optimization and improvement were carried out. After that, the genetic algorithm was introduced to update the neural network structure and improve the prediction accuracy of the neural network. Finally, the improved neural network was applied to the financial crisis prediction, and good results were achieved.Conclusion: It is proved that the research has good application value and promotion prospect.