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: | Sammen S.S., Kisi O., Ehteram M., El-Shafie A., Al-Ansari N., Ghorbani M.A., Bhat S.A., Ahmed A.N., Shahid S. |
---|---|
Other Authors: | 57192093108 |
Format: | Article |
Published: |
Springer
2024
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Moving vehicle identification using artificial neural network
by: Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr., et al.
Published: (2012) -
Artificial neural networks (ANNS) for daily rainfall runoff modelling
by: Kuok, King Kuok, et al.
Published: (2011) -
EEG classification using radial basis PSO neural network for brain machine interfaces
by: Paulraj, Murugesapandian, et al.
Published: (2009) -
Identification of normal and pain infants based on individual crying pattern
by: Ezzatul Deanna Erni, Mohamad Azmi
Published: (2016) -
Online handwriting recognition using support vector machine
by: Ahmad A.R., et al.
Published: (2023)