The Jacobian Matrix-Based Learning Machine in Student

被引：3

作者：

Hsieh, Yi-Zeng ^{[1
]}

Su, Mu-Chun ^{[2
]}

Jeng, Yu-Lin ^{[3
]}

机构：

[1] Natl Taiwan Ocean Univ, Dept Elect Engn, Keelung, Taiwan

[2] Natl Cent Univ, Dept Comp Sci & Informat Engn, Taoyuan, Taiwan

[3] Southern Taiwan Univ Sci & Technol, Dept Informat Management, Tainan, Taiwan

来源：

EMERGING TECHNOLOGIES FOR EDUCATION | 2018年 / 10676卷

关键词：

Machine learning; Student performance; Parameter based methods; Structure based methods;

D O I：

10.1007/978-3-319-71084-6_55

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The student learning performance is analyzed that we adopted the proposed Jacobian Matrix-based Learning Machine (JMLM). It is significant for establishing prediction machine learning model for student learning performance and these tool can help teacher to analyze the student data not difficult to analyze. Correct rate of our model is 87% and 86% better than traditional machine learning models.

引用

页码：469 / 474

页数：6

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