Design and Implementation of Student Hierarchical Management Evaluation System Based on BP Neural Network

Abstract

With the rapid development of smart campus construction in my country, the deep integration of information technology and education and teaching has become an inevitable trend. The phenomenon of skipping classes and failing courses has begun to appear while colleges and universities have expanded their enrollment and the number of college students has surged. Therefore, it becomes more and more important to carry out effective hierarchical management of students. Based on the relevant theoretical research of Design and Implementation of Student Hierarchical Management Evaluation System Based on BP neural network(BPNN), this paper analyzes the application of the student hierarchical management evaluation system, analyzes its mechanism, and uses the student hierarchical management evaluation system to help ensure the quality of school teaching and urge students to learn. Among them, BPNN has become one of the research hotspots in many scientific fields because of its simple structure, few training parameters and strong adaptability. This paper studies the target detection algorithm based on BPNN, and applies it to the design and implementation of the student hierarchical management evaluation system, which has important research significance and application value. The number of college participants was 74, 85, 63, 96 and 52 respectively. The corresponding recognition degrees of the hierarchical management evaluation system for students are 91.2 %, 93.8%, 90.4%, 89.5% and 92.7%, respectively. Through the data comparison, it can be seen that the students generally recognize the student hierarchical management evaluation system based on the BPNN.