Artificial immune system and particle swarm optimization for electroencephalogram based epileptic seizure classification
Automated analysis of brain activity from electroencephalogram (EEG) has indispensable applications in many fields such as epilepsy research. This research has studied the abilities of negative selection and clonal selection in artificial immune system (AIS) and particle swarm optimization (PSO) to...
Saved in:
Main Author: | Sahel Ba-Karait, Nasser Omer |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/77766/1/NasserOmerSahelPFC2015.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Particle swarm optimization (PSO)-based clustering algorithm for handwritten digits recognition
by: Sahel Ba-Karait, Nasser Omer
Published: (2007) -
Enhanced self organizing map with particle swarm optimization for classification problems
by: Hasan, Shafaatunnur
Published: (2010) -
Study of particle swarm optimization fitness functions for multilayer perceptron network in classification problems
by: Jong, Chin Hua
Published: (2009) -
Hybrid particle swarm optimization-artificial neural network gender classifier for trabecular bone morphology
by: Sahadun, Nur Afiqah
Published: (2014) -
Particle swarm optimization for neural network learning enhancement
by: Abdull Hamed, Haza Nuzly
Published: (2006)