Algorithm Research of University Financial Early pre-alarm System Based on BP Neural Network

Due to the continuous expansion of the enrollment scale of higher education, a large number of loans have arisen for construction, which has brought great pressure to the school’s financial department, especially many schools have used loans to build the infrastructure of new campuses, resulting in the burden of their own The repayment pressure is huge, so this paper focuses on the study of the financial early pre-alarm system in university, and builds a financial risk early pre-alarm system. Using the obtained early pre-alarm factors as input variables, a BPNN (BP Neural Network) financial crisis early pre-alarm model is constructed. It is hoped that the irrational loans of university will sound the alarm, so as to ensure the normal operation of college finances.