Financial and Economic Risk Security Early Warning System Based on BP Neural Network Algorithm

Finance is the blood of modern economy, today's world is an era of economic globalization, there is a profound connection and influence between the world's economies. Financial risks that arise between countries can spread across the world's economies, creating indirect risk effects. The subjective factor of traditional evaluation method is very strong. Artificial neural network model overcomes the deficiency of traditional project evaluation which relies on expert experience, and opens up a new way for financial and economic risk safety evaluation. The purpose of this paper is to study the construction of financial and economic risk security early warning system based on BP algorithm. Based on the latest achievements of BP, combined with the early warning index constructed in this paper, the BP neural network financial and economic risk early warning model is given. The empirical experiment shows that the BP model is satisfactory.