文章基本信息

标题：Implementation of Neural Networks in Predicting the Understanding Level of Students Subject
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作者：Sumijan ; AgusPerdana Windarto ; Abulwafa Muhammad 等
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2016
卷号：10
期号：10
页码：189-204
DOI：10.14257/ijseia.2016.10.10.18
出版社：SERSC
摘要：This paper implements artificial neuralnetw orkin predictingthe understanding level ofstudent ' scourse. By implementing artificial neural network based on backpropagation algorithm, an institution can give a fair decision in prediction level of students' understanding of particular c o urse / subject . This method was chosen because it is able to determine the level of students' understanding of the subject based on input from questionnaires given. The study was conducted in to two ways, namely training and testing. Data will be divided into two parts, th e first data for the training process and the second reading data of the testing process. The training process aims to identify or search for goals that are expected to use a lot of patterns . Thus, it will be able to produce the best pattern to train the d ata. After reaching the goal of training which is based on the best pattern , then it will be tested with new data to see at the accuracy of the target data using Matlab 6.1 software. The r esults show that it can accelerate the process of prediction of stude nts' understanding. By using architectural models 6 - 50 - 1 as the best model , some architectural models are tested and the result of prediction is reach to 87.75%. In other word , this model is good enough to make predictions on the level of students' underst anding of the subject.
关键词：Artificial neural network; ; ; Backpropogation ; ; ; ; Level Comprehension; ; ; Studen ; t ; ; Subject