Title :
The Effect of Combine Hopfield Neural Network and Fuzzy Ranking on E-Learning system Performance
Author :
Hung, Yen-Chu ; Ye, Shu-Hao
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. ChiaYi Univ., Taiwan
Abstract :
In recent years, more and more teachers and learners have used e-learning system as the site to teach and study. Therefore, how to improve the efficiency in e-learning system has become a very important topic. This research combines Hopfield-Tank neural network and fuzzy ranking theories to analyze the learning efficiency and the useful nodes in learning path. After that, the researcher can improve the learning material according to the results and therefore make the students who study the same course of the e-learning system get better proficiency.
Keywords :
computer aided instruction; educational courses; fuzzy set theory; learning (artificial intelligence); neural nets; Hopfield-Tank neural network; e-learning system; fuzzy ranking theory; learning efficiency; learning path; Electronic learning; Fuzzy neural networks; Fuzzy systems; Hopfield neural networks; System performance; Hopfield-Tank Neural Network; fuzzy ranking theories; learning path;
Conference_Titel :
Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on
Conference_Location :
Riga
Print_ISBN :
978-0-7695-3711-5
Electronic_ISBN :
978-0-7695-3711-5
DOI :
10.1109/ICALT.2009.18
