Artificial fish swarm optimization for multilayer network 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 Perceptr...
Saved in:
Main Authors: | Hasan, Shafaatunnur, Tan, Swee Quo, Shamsuddin, Siti Mariyam, , |
---|---|
Format: | Article |
Language: | English |
Published: |
Universiti Utara Malaysia Press
2012
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/23945/1/JICT%20%2011%202012%2037%2053.pdf http://repo.uum.edu.my/23945/ http://jict.uum.edu.my/index.php/previous-issues/140-journal-of-information-and-communication-technology-jict-vol-11-2012 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial Fish Swarm Optmization for Multilayernetwork Learning in Classification Problems
by: Hasan, Shafaatunnur, et al.
Published: (2012) -
Artificial neural network learning enhancement using Artificial Fish Swarm Algorithm
by: Hasan, Shafaatunnur, et al.
Published: (2011) -
Artificial neural network learning enhancement using artificial fish swarm algorithm
by: Tan, Swee Quo
Published: (2009) -
Memetic binary particle swarm optimization for discrete optimization problems
by: Beheshti, Zahra, et al.
Published: (2015) -
Enhanced self organizing map with particle swarm optimization for classification problems
by: Hasan, Shafaatunnur
Published: (2010)