期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：6
页码：10570
DOI：10.15680/IJIRSET.2017.0606061
出版社：S&S Publications
摘要：This article handle the basic structure of the student model used within learning management systems togenerate intelligent and adaptive courses using some neural network algorithms, The paper also focuses on how tomodelling cognitive cases for Elneelain university students for each goal or concept of education within any subjectusing the Art2 and Fuzzy-art2 in student records (input vectors) and to classify student records into six varieties: veryweak, weak, medium, good, very good and excellent. The paper also focuses on measuring the performance quality ofeach algorithm using the F-measure standard to choose the most appropriate time and accuracy algorithm to be usedconsistently within learning management systems.
