Rainfall modeling using two different neural networks improved by metaheuristic algorithms

Rainfall modeling using two different neural networks improved by metaheuristic algorithms

Abstract Rainfall is crucial for the development and management of water resources. Six hybrid soft computing models, including multilayer perceptron (MLP)–Henry gas solubility optimization (HGSO), MLP–bat algorithm (MLP–BA), MLP–particle swarm optimization (MLP–PSO), radial basis neural network fun...

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Bibliographic Details
Main Authors: Saad Sh. Sammen, Ozgur Kisi, Mohammad Ehteram, Ahmed El-Shafie, Nadhir Al-Ansari, Mohammad Ali Ghorbani, Shakeel Ahmad Bhat, Ali Najah Ahmed, Shamsuddin Shahid
Format: Article
Language:English
Published: SpringerOpen 2023-12-01
Series:Environmental Sciences Europe
Subjects:
MLP
RBFNN
Probability matrix
Markov chain
Rainfall modelling
Online Access:https://doi.org/10.1186/s12302-023-00818-0

Internet

https://doi.org/10.1186/s12302-023-00818-0

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