USING ARTIFICIAL NEURAL NETWORKS IN E-LEARNING SYSTEMS

被引：0
|
作者：
Susnea, Elena [1 ]
机构：
[1] Natl Def Univ Carol I, Bucharest, Romania
来源：
UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | 2010年 / 72卷 / 04期
关键词：
artificial neural networks; data mining; classification; ILIAS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper I present a method that uses artificial neural network, multilayer percepton (MLP) and radial basis function (RBF), through modeling a performance predictor of the students attending an e-learning course. In order to increase computation speed, I optimized neural networks architecture through decreasing the number of neurons used in the respective network. The results I achieved sustain the performance of those types of predictors, the error rates gathered being very low.
引用
收藏
页码：79 / 88
页数：10
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