THE APPLICATION OF BP NEURAL NETWORK IN STUDENTS’ EVALUATION
Journal Title: Topics in Chemical & Material Engineering (TCME) - Year 2018, Vol 1, Issue 1
Abstract
Student’s examination evaluation is a more complex and multi-factor nonlinear process. The traditional evaluation method is difficult to objectively and fairly reflect the student’s 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.
Authors and Affiliations
Kaixin Li, Shixin Li, Chaonan Fan, Yang Cao, LingLin Li
Keywords
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- EP ID EP414988
- DOI 10.26480/icnmim.01.2018.463.465
- Views 45
- Downloads 0
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