Construction of comprehensive evaluation model for university students based on BP neural network
Download as PDF
DOI: 10.25236/icecbn.2018.018
Author(s)
Ying Wang, Mingwei Zhang and Rubin Shang
Corresponding Author
Ying Wang
Abstract
Improving students’ comprehensive quality and cultivating students' innovative and entrepreneurial abilities have become the purpose of formulating training programs for all majors in Colleges and universities, and comprehensive evaluation is one of the important methods to examine students' comprehensive quality. Taking Tianjin University Renai College as an example, this paper proposes students’ comprehensive evaluation model based on BP neural network, and uses MATLAB tools to simulate the data and verify it. The results show that the BP neural network can effectively reduce the degree of human disturbance and get a real and objective result, which has a wide range of applicability.
Keywords
Bp Neural Network, College Students, Comprehensive Evaluation, Matlab Analysis