K-Means Clustering and Artificial Neural Network in Weather Forecasting


Authors : Shubham Choramle; Jaydeep Lokhande; Vidwesh Choudhary; Pruthviraj Mohalkar; Dr. Vitthal Gutte

Volume/Issue : Volume 8 - 2023, Issue 11 - November

Google Scholar : https://tinyurl.com/kkffruns

Scribd : https://tinyurl.com/2zd7h2xr

DOI : https://doi.org/10.5281/zenodo.10629191

Abstract : The research paper's abstract provides a brief introduction to the subject of forecasting the weather, discusses the applications and limitations of K-Means clustering and ANNs (artificial neural networks) in weather forecasting, and identifies a comparison of these two approaches as the primary goal of the study. It finishes by highlighting the significance of integrating different methodologies for precise weather forecasting and briefly referencing relevant work.

The research paper's abstract provides a brief introduction to the subject of forecasting the weather, discusses the applications and limitations of K-Means clustering and ANNs (artificial neural networks) in weather forecasting, and identifies a comparison of these two approaches as the primary goal of the study. It finishes by highlighting the significance of integrating different methodologies for precise weather forecasting and briefly referencing relevant work.

Video Explanation for Published paper

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