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...
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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 |
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Format: | Article |
Language: | English |
Published: |
Springer
2023
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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 |
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