Intelligence System for Error Analysis Based on the Takagi-Sugeno Model

被引：0

作者：

Cheng, NuHua ^{[1
]}

Lv, Wei ^{[1
]}

Ni, YuHua ^{[1
]}

Yong, Cai ^{[1
]}

机构：

[1] Beijing Normal Univ, Zhuhai 519000, Peoples R China

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING AND INDUSTRIAL INFORMATICS | 2015年 / 15卷

关键词：

Intelligence-system; Takagi-Sugeno; Cloud Computing; education; data mining;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Through the error from feedback of classroom teaching system, based on the analysis and judgment of the intelligence system, the system can provide the cause of the error for students, and automatically push the error corresponding after-school classroom exercises, enhance learning relevance and learning efficiency.

引用

页码：140 / 143

页数：4

共 6 条

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[3] Grossman R. L., 2008, KDD
[4] Fuzzy inference system learning by reinforcement methods
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[5] Min-Soeng Kim, 1999, Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289), P757, DOI 10.1109/IROS.1999.812771
[6] Yan XW, 2000, NINTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2000), VOLS 1 AND 2, P865, DOI 10.1109/FUZZY.2000.839145

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