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...
Saved in:
Main Authors: | , , , , , , , , |
---|---|
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!
|
Be the first to leave a comment!