Intelligent Financial Decision Support System Using Artificial Intelligence

In view of the financial risks existing in development of enterprises, the traditional financial management systems are difficult to achieve the risk tracking and prediction. In the research, applied artificial intelligence technology, an artificial neural network model based was proposed to achieve the prediction of enterprise financial risk indicators, so as to provide the decision support for enterprise production and operation. Through the neural network model, simulation of biological neural network processing information process prediction was carried out, non-quantitative variables were processed. When number of hidden layers was 11 layers, the comprehensive judgment accuracy of type was 91.67%. From the above training and simulation procedures, when the hidden layer is 11, the model established in this study has a high prediction effect, with a prediction accuracy of 91.67%. Through experiments, result finding that the model has high financial prediction ability, reaching over 90%, this provides a reference for financial intelligent decision-making in enterprises. Although there are many academic researches on financial early warning, the research on traditional energy enterprises is not perfect. It is hoped that the research results of the research can provide some reference for the financial early warning of enterprises.