Hyperparameter Optimization of Evolving Spiking Neural Network for Time-Series Classification
Spiking neural networks are the third generation of artificial neural networks that are inspired by a new brain-inspired computational model of ANN. Spiking neural network encodes and processes neural information through precisely timed spike trains. eSNN is an enhanced version of SNN, motivated by...
Saved in:
Main Authors: | Ibad, T., Abdulkadir, S.J., Aziz, N., Ragab, M.G., Al-Tashi, Q. |
---|---|
Format: | Article |
Published: |
2022
|
Online Access: | http://scholars.utp.edu.my/id/eprint/33979/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127539295&doi=10.1007%2fs00354-022-00165-3&partnerID=40&md5=1292a91ea1f1dcb8a29a68bbe48db037 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hyperparameter Optimization Of Evolving Spiking Neural Network Using Salp Swarm Optimizer For Time Series Classification
by: Ibad, Tasbiha
Published: (2022) -
Evolving spiking neural network: A comprehensive survey of its variants and their results
by: IBAD, T., et al.
Published: (2020) -
Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks
by: Roslan, Farezdzuan
Published: (2018) -
Multi-objective differential evolution of evolving spiking neural networks for classification problems
by: Saleh, A. Y., et al.
Published: (2015) -
Integrated evolving spiking neural network and feature extraction methods for scoliosis classification
by: Sabri, Nurbaity, et al.
Published: (2022)