Abstract: Rainfall forecasting is essential for a few industries, including agriculture, water resource management, and flood forecasts. Rainfall prediction is most important, but now-a- days rainfall forecasting has grown to be a difficult issue. The ability to take safeguards is made possible by accurate rainfall predictions. To anticipate the dependent variables temperature, humidity, location, wind speed, and direction the rainfall prediction is dependent on a few constantly shifting factors. The weather calculation also varies according on the location's geographic characteristics and atmospheric variables.
Cite:
Divya Sri.M, Venkata Sai Bhargav.K, Chandra Kireeti.K, Lahari Priya.M, K. Rajeshkumar , "Rainfall Prediction using Hybridized Genetic Algorithm-Based Artificial Neural Network (GA-ANN) and Genetic Algorithm-Based Support Vector Machine (GA-SVM) Models.", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13363.
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DOI:
10.17148/IJARCCE.2024.13363
