Rainfall modeling using two different neural networks improved by metaheuristic algorithms

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 function (RB...

Full description

Saved in:
Bibliographic Details
Main Authors: Sammen, Saad Sh., Kisi, Ozgur, Mohammad Ehteram, Mohammad Ehteram, El-Shafie, Ahmed, Al-Ansari, NadhirAl-Ansari, Ghorbani, Mohammad Ali, Ahmad Bhat, Shakeel, Ahmed, Ali Najah, Shahid, Shamsuddin
Format: Article
Language:English
Published: Springer 2023
Subjects:
Online Access:http://eprints.utm.my/107018/1/ShamsuddinShahid2023_RainfallModelingUsingTwoDifferentNeural.pdf
http://eprints.utm.my/107018/
http://dx.doi.org/10.1186/s12302-023-00818-0
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items