Multi-objective evolutionary algorithms of spiking neural networks
Spiking neural network (SNN) is considered as the third generation of artificial neural networks. Although there are many models of SNN, Evolving Spiking Neural Network (ESNN) is widely used in many recent research works. Among the many important issues that need to be explored in ESNN are determini...
Saved in:
Main Author: | Saleh, Abdulrazak Yahya |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/77783/1/AbdulRazakYahyaPFC2015.pdf http://eprints.utm.my/id/eprint/77783/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:95570 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A hybrid differential evolution algorithm for parameter tuning of evolving spiking neural network
by: Saleh, Abdulrazak Yahya, et al.
Published: (2017) -
Multi-objective K-means evolving spiking neural network model based on differential evolution
by: Hamed, H. N. A., et al.
Published: (2016) -
The review of multiple evolutionary searches and multi-objective evolutionary algorithms
by: Cheshmehgaz, Hossein Rajabalipour, et al.
Published: (2015) -
Backpropagation neural network based on local search strategy and enhanced multi-objective evolutionary algorithm for breast cancer diagnosis
by: Ashraf Osman, Ibrahim, et al.
Published: (2019) -
Spiking neural network classification for spike train analysis of physiotherapy movements
by: Fadilla 'Atyka, Nor Rashid, et al.
Published: (2020)