THE APPLICATION OF BP NEURAL NETWORK IN STUDENTS EVALUATION

摘要：

　　Students examination evaluation is a more complex and multi-factor nonlinear process.The traditional evaluation method is difficult to objectively and fairly reflect the students learning effect.Through establishing the model of student examination evaluation system based on BP neural network and Collect students scores in one class according to index as samples of network training,this paper establishes BP neural network and simulates it through MATLAB software.Through the modification of the network weight parameter,the achievement error obtained after training is controlled to be acceptable.The results show that the student test evaluation model based on BP neural network can overcome the interference of various human factors on student performance,increase the reasonableness of the evaluation work.

关键词： Examination evaluation of students BP neural network MATLAB simulation

作者: Kaixin Li Shixin Li Chaonan Fan Yang Cao LingLin Li

作者单位: College of Electronic Engineering,Tianjin University of Technology and Education,Dagu South Road,Tianjin,China

会议类型: 国际会议

会议名称: 2018 International Conference on New Materials and Intelligent Manufacturing (ICNMIM(2018年第一届新材料与智能制造国际会议))

会议地点: 吉林

会议语种:英文

页码: 463-465

在线出版日期: 2018-06-23（万方平台首次上网日期，不代表论文的发表时间）