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...
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/ http://ir.uitm.edu.my/id/eprint/19605/1/ABS_AISHAH%20HARTINI%20JAHIDIN%20TDRA%20VOL%209%20IGS%2016.pdf |
Similar Items
-
Artificial neural network modelling for IQ classification based on EEG signals / Aisyah Hartini Jahidin
by: Jahidin, Aisyah Hartini
Published: (2015) -
The use of artificial neural network in the classification of EMG signals
by: Ahsan, Md. Rezwanul, et al.
Published: (2012) -
VHDL modeling of EMG signal classification using artificial neural network
by: Ahsan, Md. Rezwanul, et al.
Published: (2012) -
Epilepsy detection from EEG signals using artificial neural network
by: Sallam, Amer A., et al.
Published: (2019) -
Classification of EEG Spectrogram Using ANN for IQ Application
by: Mahfuzah, Mustafa, et al.
Published: (2013)