期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2022
卷号：4
期号：5
页码：479-483
DOI：10.35629/5252-0405242247
语种：English
出版社：IJAEM JOURNAL
摘要：Rain prediction is an important topic that continues to gain attention throughout the world. The rain has a big impact on various aspects of human life both socially and economically, for example in agriculture, health, transportation, etc. Heavy Rainfall causesdisasters such as landslides and floods. The various impact of rain on human life prompts us to build a model to understand and predict rain to provide early warning in various fields such as agriculture, transportation, etc. This research aims to build a rain prediction model using a rule-based Machine Learning approach by utilizing historical meteorological data.The proposed study aims to predict future rainfall using linear regression technique as we also compared various models such as Support Vector Machine, Random Forest Regression, and Neural Network Model.
关键词：Machine Learning;Neural Network;Multiple Linear Regression;Random Forest;Support Vector Machine
