Application of artificial intelligence techniques to EEG signals
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Abstract (EN)
In this study, it was aimed to make an analysis supported bycomputer by using artificial neural networks after evaluating differences in healthy and sick (epilepsy) conditions which are the signs nonstationary and random as EEG signal.As it was understood from the discoveries' graphics which were got, it had been supplied for neural network in using classification problem successfully.Neural networks performance has been changing according to the changing of neuralnetworks learning coefficient, activation function values, hidden layer number and hidden layer neuron number. This values had been made optimal according to experimental results.
Author
Sunay Mutlu
Institution
How to Cite
Sunay Mutlu (Master Thesis). Application of artificial intelligence techniques to EEG signals, 2008, Gazi University, Teknik Eğitim Bölümü.
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