Application of BP Network based on GA in Student Evaluation
Shixin Li, Hai Zhang, Kaixin Li, Chaonan Fan
Available Online December 2018.
- https://doi.org/10.2991/tlicsc-18.2018.2How to use a DOI?
- Student examination evaluation, the BP neural network optimized by GA, Data mining technology.
- The examination evaluation of students is a complex, multi factor, multi variable nonlinear system. The traditional evaluation method is difficult and fair to reflect the students' learning effect. In this paper, the student examination evaluation system model based on the BP neural network based on GA is set up, the student sample results are collected according to the index, data mining technology is used for learning and training, and the trained model is applied to performance prediction. The simulation results show that the prediction accuracy of the student test evaluation model of the BP neural network optimized by GA is far more than the simple BP network prediction model and can overcome the interference of various subjective factors to the students' performance.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Shixin Li AU - Hai Zhang AU - Kaixin Li AU - Chaonan Fan PY - 2018/12 DA - 2018/12 TI - Application of BP Network based on GA in Student Evaluation BT - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018) PB - Atlantis Press SP - 5 EP - 9 SN - 1951-6851 UR - https://doi.org/10.2991/tlicsc-18.2018.2 DO - https://doi.org/10.2991/tlicsc-18.2018.2 ID - Li2018/12 ER -