IJIRCST

Prediction of Weather Forecasting by Using Machine Learning

N. Sri Lakshmi | P. Ajimunnisa | V. Lakshmi Prasanna | T. YugaSravani | M. RaviTeja

Weather forecasting has become important now a day because of varying climatic conditions around the world. Many technologies have been introduced to predict the weather whose accuracy is around 70%.Weather forecasting is used in machine learning. It is a powerful technique to predict the weather with more accuracy. Weather dataset is collected and analysed and algorithms on it to predict the weather. Using a Back Propagation Neural Network the error rate becomes less and many factors that are involved to predicting the weather gives the accurate results. To compare and evaluate the performance of above model and the programming was carried out using Visual Studio as a tool.

Classification, Weather Forecasting, Weather Conditions, Rainfall Prediction, Back Propagation Neural Network.

Ms. Ashwini Mandale, “Weather Forecast Prediction: A Data Mining Application”, International Journal of Engineering Research and General Science Volume 3, Issue 2, MarchApril, 2015, ISSN 2091-2730.
Imran Maqsood, Muhammad Riaz Khan, and Ajith Abraham, “An ensemble of neural network for weather forecasting”, Neural Comput&Applic (2004) 13: 112–122
Amanpreet Kaur, J K Sharma, and Sunil Agrawal, “Artificial neural networks in forecasting maximum and minimum relative humidity”. International Journal of Computer Science and Network Security, 11(5):197-199, May 2011
Sawaitul, D. Sanjay, K. P. Wagh and P. N. Chatur, “Classification and prediction of future weather by using back propagation algorithm-an approach”, International Journal of Emerging Technology and Advanced Engineering, Vol. 2, No. 1, pp. 110-113, 2012.
Ankita Joshi, BhagyashriKamble, Vaibhavi Joshi, KomalKajale, NutanDhange, “Weather Forecasting And Climate Changing Using Data Mining Application”, International Journal Of Advanced Research In Computer And Communication Engineering,Vol. 4, Issue 3, March 2015.
M. Viswambari, Dr. R. AnbuSelvi, “Data Mining Techniques To Predict Weather: A Survey”, ISSN 2348 – 7968, IJISET- International Journal Of Innovative Science, Engineering & Technology, Vol. 1 Issue 4, June 2014.
Divya Chauhan, Jawahar Thakur, “Data Mining Techniques for Weather Prediction: A Review”, International Journal On Recent and Innovation Trends In Computing And Communication ISSN: 23218169 Volume: 2 Issue: 8, 2014.
Fairbridge R. W., 2007, "Climate" Microsoft® Student 2008 [DVD], Redmond, WA: Microsoft Corporation, 2007.
Han, J., Micheline K., 2007, Data Mining: Concepts and Techniques, San Fransisco, CA: Morgan Kaufmann publishers.
Nikhil Sethi, Dr.KanwalGarg,”Exploiting Data Mining Technique For Rainfall Prediction”, Nikhil Sethi Et Al, / (IJCSIT) International Journal Of Computer Science And Information Technologies, Vol. 5 (3), 2014, 3982-3984.

[N. Sri Lakshmi, P. Ajimunnisa, V. Lakshmi Prasanna, T. YugaSravani, M. RaviTeja (2021), Prediction of Weather Forecasting by Using Machine Learning, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), Vol-9, Issue-4, Page No-30-32], (ISSN 2347 - 5552). www.ijircst.org

N. Sri Lakshmi

Assistant Professor, Department of Computer Science and Engineering, Dhanekula Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, India (ajimunnisapathan1999@gmail.com)

DOI:

DOI: 10.21276/ijircst.2021.9.4.7 DOI URL: https://doi.org/10.21276/ijircst.2021.9.4.7

Copyright © 2021 by author(s) and International Journal of Innovative Research in Computer Science & Technology Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)