文章基本信息

标题：Light-Weight Real Time Weather Forecasting Simulation over Bangladesh using Deep Learning
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作者：Lingala Thirupathi ; C Kishor Kumar Reddy ; Anisha P R 等
期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：3
页码：4616-4633
DOI：10.9756/INT-JECSE/V14I3.602
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：The question of predicting weather has baffled mankind for centuries but with machine learning techniques it is now possible to predict weather with good accuracy. This chapter proposes to predict weather more accurately within the context of Bangladesh. As predicting weather is a challenging task, the application of machine learning in this sector has promising results. The people of Bangladesh suffer a lot due to bad weather pattern and it is an on-going problem. This study hopes to achieve an insight on how machine learning techniques can prove to be helpful using classification algorithms to predict cloud patterns based on past data of Dhaka. Using state of the art classifiers from statistical models such as Naïve Bayes, Decision Tree, Logistic Regression and non-probabilistic models like Support Vector Machine, gives accurate results up to 70% and more when predicting weather patterns.
关键词：Weather;Forecasting;Machine Learning;Deep Learning;Logistic Regression;Support Vector Machine;Naïve Bayes;Multinomial;Decision Tree