文章基本信息

标题：Proposing Regression Model for Predicting More Accurate Integer Sequences
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作者：Kartik Bhatia ; Shourya Rastogi ; Vibhor Agrawal 等
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：2018
卷号：7
期号：3
页码：2681
DOI：10.15680/IJIRSET.2018.0703118
出版社：S&S Publications
摘要：Sequence Learning is an important branch of machine learning. Sequence learning helps us to solvemathematical problems by finding some pattern which previously was not possible earlier. Some sequences are answersto mathematical and physical problems in various area such as number theory. Knowing the next number may help tosolve these problems and establish the validity of theories. To address this problem an effective approach is withmachine learning using regression model. In this paper, we propose that how the regression plays a key role to generatemore accurate sequences. This paper presents the idea to predict an integer sequence.
关键词：Sequence prediction; next item prediction; accuracy; regression; machine learning.