Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

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Rainfall Forecast Based Predictive Analytics Model Using Machine Learning

Authors
L. Monish1, S. G. Shaila1, *, A. Vadivel2, D. Shivamma1, S. G. Sumana1
1Dayananda Sagar University, Bangalore, India
2Gitam University, Bengaluru, India
*Corresponding author. Email: shaila-cse@dsu.edu.in
Corresponding Author
S. G. Shaila
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_53How to use a DOI?
Keywords
Rainfall; Prediction; Classification; Artificial Neural Network; Support Vector Machine; Non-linear data; Regression
Abstract

Rainfall irrigates over half of India’s land. The average annual rainfall in India is 300-600 mm. India is endowed by the southwestern monsoon. But it is unreliable as rainfall will fickle along the year. This makes prediction very challenging and important. Rainfall prediction can be achieved by using advanced computer models and simulation tools. To understand and compute the complex patterns from the data, there is a need of efficient algorithms. Artificial Neural Network (ANN) easily fixes the problem concerned with the non-linear data. The feed-forward network and the backpropagation network can be used to overcome the downsides of the traditional methods used for rainfall prediction. Support Vector Machine (SVM) is used for rainfall prediction as SVM model is used for numerical value prediction for the observed non-linear data and the performance of both the algorithms are compared .

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
978-94-6463-136-4
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_53How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - L. Monish
AU  - S. G. Shaila
AU  - A. Vadivel
AU  - D. Shivamma
AU  - S. G. Sumana
PY  - 2023
DA  - 2023/05/01
TI  - Rainfall Forecast Based Predictive Analytics Model Using Machine Learning
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 622
EP  - 631
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_53
DO  - 10.2991/978-94-6463-136-4_53
ID  - Monish2023
ER  -