Comparative analysis of classification techniques and input-output patterns for monthly rainfall prediction

Comparative analysis of classification techniques and input-output patterns for monthly rainfall prediction

Rainfall prediction is one of the crucial stages of the watershed management process. In this research, A comparison of the performance among Monte Carlo and Thomas Fiering, linear regression (LR), multiple linear regression (MLR), and SVM optimized by Simulated Annealing (SVM-SA) is carried out for...

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Bibliographic Details
Main Authors: Nadia Sedghnejad, Hamed Nozari, Safar Marofi
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Water Science
Subjects:
Artificial intelligence
prediction
rainfall
support vector machine
Online Access:https://www.tandfonline.com/doi/10.1080/23570008.2024.2323879
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