Signal Distinction Electroencephalograms (EEG) Using a Back Propagation Neural Network Based On Localized Structural Features Extractions
In this research, it localized structural feature selection method has been used as a base of quantifying structural changes with time for Electroencephalograms (EEG) obtained from four states two patient and two healthy with eyes open and eyes closed in both. Then these structural characteristics h...
Saved in:
| Main Author: | Najlaa Safar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Mosul University
2005-12-01
|
| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.mosuljournals.com/article_164090_69f0a37f6592a3abeee9073a5355add6.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Towards decoding motor imagery from EEG signal using optimized back propagation neural network with honey badger algorithm
by: Zainab Hadi-Saleh, et al.
Published: (2025-07-01) -
Study on Fault Arc Recognition Based on Back-Propagation Neural Network
by: QIAO Weide
Published: (2020-09-01) -
Concrete crack opening forecasting by back propagation neural network and differential equation
by: Feifei Sun, et al.
Published: (2025-07-01) -
A Novel Back Propagation Neural Network Based on the Harris Hawks Optimization Algorithm for the Remaining Useful Life Prediction of Lithium-Ion Batteries
by: Yuyang Zhou, et al.
Published: (2025-07-01) -
Modifications for Quasi-Newton Method and Its Spectral Algorithm for Solving Unconstrained Optimization Problems
by: Evar Lutfalla Sadraddin, et al.
Published: (2024-06-01)