Artificial neural network learning enhancement using Artificial Fish Swarm Algorithm
Artificial Neural Network (ANN) is a new information processing system with large quantity of highly interconnected neurons or elements processing parallel to solve problems.Recently, evolutionary computation technique, Artificial Fish Swarm Algorithm (AFSA) is chosen to optimize global searching of...
Saved in:
Main Authors: | Hasan, Shafaatunnur, Tan, Swee Quo, Shamsuddin, Siti Mariyam, Sallehuddin, Roselina |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2011
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/13633/1/117.pdf http://repo.uum.edu.my/13633/ http://www.icoci.cms.net.my |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial neural network learning enhancement using artificial fish swarm algorithm
by: Tan, Swee Quo
Published: (2009) -
Artificial Fish Swarm Optmization for Multilayernetwork Learning in Classification Problems
by: Hasan, Shafaatunnur, et al.
Published: (2012) -
Artificial fish swarm optimization for multilayer network learning in classification problems
by: Hasan, Shafaatunnur, et al.
Published: (2012) -
Implementation of artificial neural network on graphics processing unit for classification problems
by: Anuar, Syahid, et al.
Published: (2016) -
An improved bat algorithm with artificial neural networks for classification problems
by: Rehman Gillani, Syed Muhammad Zubair
Published: (2016)