Research on the Model of Academic Status Based on Deep Learning

被引：0

作者：

Sun, Yanchao ^{[1
]}

Chen, Wei ^{[1
]}

Jia, Minzheng ^{[2
]}

机构：

[1] Beijing Informat Sci & Technol Univ, Deans Off, Beijing, Peoples R China

[2] Beijing Polytech Coll, Dept Informat Engn, Beijing, Peoples R China

来源：

2021 IEEE/ACIS 20TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS 2021-SUMMER) | 2021年

关键词：

Deep Learning; feature description; neural network;

D O I：

10.1109/ICIS51600.2021.9516863

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

For universities, the quality of talent training is particularly important. This article attempts to use machine learning methods to build a predictive model, using undergraduates' entrance scores and the scores obtained in the first two years of university as the data source, With the increase of training times, the prediction accuracy of the model proposed in this paper is better than other algorithms, which can explain the method proposed in this paper. Has a certain universality and promotion.

引用

页码：148 / 152

页数：5

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