PARTICLE SWARM OPTIMIZATION IN FEEDFORWARD NEURAL NETWORKS FOR RAINFALL-RUNOFF SIMULATION
Backpropagation neural networks have been effectively utilized by hydrologists in recent years to model various nonlinear hydrological processes due to their ability to generalize patterns in vague, noisy, ambiguous, and incomplete input and output datasets. However, the solutions may become stuck a...
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Main Authors: | , , , , |
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Format: | Book Chapter |
Language: | English |
Published: |
Cambridge Scholars Publishing
2024
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Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/46907/1/Particle%20swarm.pdf http://ir.unimas.my/id/eprint/46907/ https://www.cambridgescholars.com/product/978-1-0364-0804-6 |
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