The Effect of Combine Hopfield Neural Network and Fuzzy Ranking on E-Learning system Performance

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.