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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Bibliographic Details
Main Authors: Kuok, King Kuok, Chiu, Po Chan, Md. Rezaur, Rahman, Chin, Mei Yun, Mohd Elfy, Mersal
Other Authors: King Kuok, Kuok
Format: Book Chapter
Language:English
Published: Cambridge Scholars Publishing 2024
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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