Prediction of Weather Forecasting by Using Machine Learning

Authors

  • N Sri Lakshmi Assistant Professor, Department of Computer Science and Engineering, Dhanekula Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, India Author
  • P Ajimunnisa Students, Department of Computer Science and Engineering, Dhanekula Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, India Author
  • V Lakshmi Prasanna Students, Department of Computer Science and Engineering, Dhanekula Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, India Author
  • T YugaSravani Students, Department of Computer Science and Engineering, Dhanekula Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, India Author
  • M RaviTeja Students, Department of Computer Science and Engineering, Dhanekula Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, India Author

Keywords:

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

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. 

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References

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Published

2021-07-30

Issue

Vol. 9 No. 4 (2021): International Journal of Innovative Research in Computer Science and Technology (Jul) 2021

Section

Articles

How to Cite

Prediction of Weather Forecasting by Using Machine Learning . (2021). International Journal of Innovative Research in Computer Science & Technology, 9(4), 30–32. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/11379