Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients

İnan Güler; Elif Derya Übeylï

doi:10.1016/j.jneumeth.2005.04.013

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Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients

İnan Güler Elif Derya Übeylï

Year: 2005 Journal: Journal of Neuroscience Methods Vol: 148 (2)Pages: 113-121 Publisher: Elsevier BV

DOI: 10.1016/j.jneumeth.2005.04.013

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Keywords:

Adaptive neuro fuzzy inference system Artificial intelligence Pattern recognition (psychology) Computer science Electroencephalography Artificial neural network Classifier (UML) Wavelet Neuro-fuzzy Feature extraction Backpropagation Inference system Machine learning Fuzzy logic Fuzzy control system Psychology Neuroscience

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EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients

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