Artificial Fish Swarm Optmization for Multilayernetwork Learning in Classification Problems

Nature-Inspired Computing (NIC) has always been a promising tool to enhance neural network learning. Artificial Fish Swarm Algorithm (AFSA) as one of the NIC methods is widely used for optimizing the global searching of ANN. In this study, we applied the AFSA method to improve the Multilayer Percept...

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Bibliographic Details
Main Authors: Hasan, Shafaatunnur, Tan, Swee Quo, Shamsuddin, Siti Mariyam, Sallehuddin, Roselina
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2012
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/30417/1/JICT%2011%2000%202012%2037-53.pdf
https://repo.uum.edu.my/id/eprint/30417/
https://www.e-journal.uum.edu.my/index.php/jict/article/view/8123
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