Students' Comprehensive Quality Evaluation Based on BP Neural Network Optimized by Genetic Algorithm

被引：0
|
作者：
Zhang, Shuang [1 ]
Hu, Qinghe [2 ]
机构：
[1] Northeastern Univ, Software Coll, Shenyang 110169, Liaoning, Peoples R China
[2] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
来源：
2ND INTERNATIONAL CONFERENCE ON EDUCATION, E-LEARNING AND MANAGEMENT TECHNOLOGY (EEMT 2017) | 2017年
关键词：
Students' comprehensive quality evaluation; BP neural network; GA-BP; MATLAB;
D O I：
暂无
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
It is well known that education is No. 1 important for a country. But only good academic performance cannot meet the needs of the current society. A country needs comprehensive talents. This paper introduces the basic principle of a BP neural network optimized by genetic algorithm (GA-BP). And also, the paper proposes a students' comprehensive quality evaluation model based on the optimized BP neural network. The model is implemented by MATLAB. The experiment result shows that the model has the advantages of fewer iterations, high convergence speed and strong generalization ability. It enables students' comprehensive quality evaluating faster and more accurate.
引用
收藏
页码：683 / 688
页数：6
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