Artificial neural network modelling for IQ classification based on EEG signals / Aishah Hartini Jahidin
Electroencephalogram (EEG) is a non-invasive approach for measuring brainwaves applied extensively in cognitive studies. Intelligence, which is commonly gauged as intelligence quotient (IQ) is one of the human potential ability that originates from cognitive functioning of the brain. Recent research...
Saved in:
Main Author: | Jahidin, Aishah Hartini |
---|---|
Format: | Book Section |
Language: | English |
Published: |
Institute of Graduate Studies, UiTM
2016
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/19605/1/ABS_AISHAH%20HARTINI%20JAHIDIN%20TDRA%20VOL%209%20IGS%2016.pdf http://ir.uitm.edu.my/id/eprint/19605/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial neural network modelling for IQ classification based on EEG signals / Aisyah Hartini Jahidin
by: Jahidin, Aisyah Hartini
Published: (2015) -
EEG-based IQ and learning style classification model using artificial neural network / Muhammad Marwan Anoor
by: Muhammad Marwan , Anoor
Published: (2021) -
Classification of EEG Spectrogram Using ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013) -
EEG Spectrogram Classification Employing ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013) -
Learners' Learning Style classification related to IQ and Stress based on EEG
by: Nazre, Abdul Rashid, et al.
Published: (2011)