Prediction of Weather Forecasting by Using Machine Learning

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

doi:10.21276/ijircst.2021.9.4.7

Abstract

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.

Keywords

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

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Cites this article as

N. S. Lakshmi, P. Ajimunnisa, V. L. Prasanna, T. YugaSravani, M. RaviTeja, "Prediction of Weather Forecasting by Using Machine Learning", International Journal of Innovative Research in Engineering & Management (ijircst), Vol-9, Issue-4, Page No-30-32, 2021. Available from: https://doi.org/10.21276/ijircst.2021.9.4.7

Corresponding Author

N. Sri Lakshmi

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

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