Construction of an Intelligent Student Management and Evaluation Information System Based on Fuzzy Neural Network

Abstract

With the increasing application of information management systems in colleges and universities. However, specialized information evaluation software for student management is relatively rare, and it is difficult to conduct effective specialized performance evaluation of student management in a traditional information system environment. To this end, the establishment of a complete system for collecting and processing student management information in higher vocational colleges, as well as an information management system built on this basis, has important practical significance for the performance evaluation of student management. The purpose of this article is to study the construction of an intelligent student management and evaluation information system based on fuzzy neural network. In this article, the fuzzy neural network model will be combined to provide new research tools, ideas and methods for the intelligent student management evaluation information system. The intelligent information evaluation system and information management system developed by it also provide new ideas and new methods for colleges and universities. It can also fully mobilize the work of colleges and universities to provide a new platform that conforms to the trend of the times. Experimental research shows that this study uses the fuzzy neural network intelligent student management evaluation information system to evaluate the student information of 6 colleges/departments. The evaluation score calculated only by the weight of the indicator system is more accurate and more flexible.