Machine Learning Approach to Forecast Average Weather Temperature of Bangladesh

Ashfaq Ali Shafin

Machine Learning Approach to Forecast Average Weather Temperature of Bangladesh

Ashfaq Ali Shafin * §

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§ Stamford University Bangladesh

Machine Learning Approach to Forecast Average Weather Temperature of Bangladesh

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Abstract

Weather prediction is gaining popularity very rapidly in the current era of Artificial Intelligence and Technologies. It is essential to predict the temperature of the weather for some time. In this research paper, we tried to find out the pattern of the average temperature of Bangladesh per year as well as the average temperature per season. We used different machine learning algorithms to predict the future temperature of the Bangladesh region. In the experiment, we used machine learning algorithms, such as Linear Regression, Polynomial Regression, Isotonic Regression, and Support Vector Regressor. Isotonic Regression algorithm predicts the training dataset most accurately, but Polynomial Regressor and Support Vector Regressor predicts the future average temperature most accurately.

References

13 Cites in Article

Reference Format

(2019). Unknown Title.
(2019). 26 Mobilität.
(2025). Interview 20-21.
(2019). Bangladesh.
M Mizanur Rahman,N Ferdousi,Y Sato,S Kusunoki,A Kitoh (2012). Rainfall and temperature scenario for Bangladesh using 20 km mesh AGCM.
M Bhuyan,M Islam,M Bhuiyan (2018). A Trend Analysis of Temperature and Rainfall to Predict Climate Change for Northwestern Region of Bangladesh.
David Freedman (2009). Statistical Models: Theory and Practice.
Alvin Rencher,William Christensen (2012). Methods of Multivariate Analysis.
E Lehmann,George Casella (1998). Theory of Point Estimation.
M Holmstrom,D Liu,C Vo (2016). Machine Learning Applied to Weather Forecasting.
Y Radhika,M Shashi (2009). Atmospheric Temperature Prediction using Support Vector Machines.
V Krasnopolsky,M Fox-Rabinovitz (2006). Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction.
R Kumar,R Khatri (2016). A Weather Forecasting Model using the Data Mining Technique.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ashfaq Ali Shafin. 2019. "Machine Learning Approach to Forecast Average Weather Temperature of Bangladesh". Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 19 (GJCST Volume 19 Issue D3).

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GJCST Volume 19 Issue D3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-D Classification I.2.m

Submission ReceivedDecember 14, 2018
Peer Review Double Blind
Handling Editor
Accepted January 2, 2019
Published January 15, 2019

Version of record

v1.2

Issue date

July 17, 2019

Language

English

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Article Matrices

Total Score: 141

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology

Authors: Ashfaq Ali Shafin (PhD/Dr. count: 0)

View Count (all-time): 428

Total Views (Real + Logic): 1969

Total Downloads (simulated): 144

Publish Date: 2019 01, Tue

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Total Views: 2K

Total Downloads: 144

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