Research on optimization of scientific research management information system in colleges and universities based on artificial neural network

Abstract

With the continuous development of society and science and technology, scientific management has been paid more and more attention by people. As an institution of higher learning, how to accurately evaluate the scientific research workload, scientific research achievements and academic level of each scientific and technological worker is a work that needs to be seriously taken seriously. At the same time, colleges and universities are the front positions of scientific research and scientific and technological development. With the rapid development of computer science and network, the management of scientific research in colleges and universities has gradually realized computerization and moved towards networked management. At present, most universities have established their own scientific research management information systems. Although each has its characteristics, there are also some problems. Through experiments, it is proved that the proposed algorithm has a good fit between the estimated value and the actual value of the teaching management evaluation object in colleges and universities, and has a strong promotion value, so as to promote better and faster development of scientific research information management in colleges and universities.