利用前馈神经网络预测学生成功

IF 3.7 4区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Kamil Yurtkan, Ahmet Adalıer, Umut Tekgüç
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引用次数: 0

摘要

在过去的十年里,机器学习算法已经被用于预测人类行为。在教育中,学生的行为以及他们的成功预测也适用于机器学习算法的发展
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Student Success Prediction Using Feedforward Neural Networks
Machine learning algorithms have been used in the last decade to predict human behavior. In education, the student's behavior, and accordingly, their success prediction is also applicable in parallel with the developments in machine learning algorithms an
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来源期刊
Romanian Journal of Information Science and Technology
Romanian Journal of Information Science and Technology 工程技术-计算机:理论方法
CiteScore
5.50
自引率
8.60%
发文量
0
审稿时长
>12 weeks
期刊介绍: The primary objective of this journal is the publication of original results of research in information science and technology. There is no restriction on the addressed topics, the only acceptance criterion being the originality and quality of the articles, proved by independent reviewers. Contributions to recently emerging areas are encouraged. Romanian Journal of Information Science and Technology (a publication of the Romanian Academy) is indexed and abstracted in the following Thomson Reuters products and information services: • Science Citation Index Expanded (also known as SciSearch®), • Journal Citation Reports/Science Edition.
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