Innovation Research of RBF Algorithm on University Information Management in Big Data Era

Abstract

The third industrial revolution has brought us into the “information age”, and the new technology revolution marked by “information” is developing rapidly. During this period, the information management of college has made great contributions to the development of the curriculum, and brought about major changes in teaching methods, teaching methods, curriculum strategies, and curriculum settings. This essay aims to study the innovative research of RBF algorithm on university informatization management in the era of big data. This essay firstly introduces the innovation of college management in the era of big data, mainly explores the development of informatization learning and network teaching. This essay uses the RBF neural network algorithm to build a new university information management system to improve the efficiency and security of university information management. Experiments have proved that the simulation error of the system constructed in this essay is within 5%, which can effectively improve the resource allocation of the system. In the case of multiple people logging in and using in parallel, the response speed of the system is about 0.3s, the response is fast and the relatively stable.