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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection (Paperback)
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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection (Paperback)
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EEG Brain Signal Classification for Epileptic Seizure Disorder
Detection provides the knowledge necessary to classify EEG brain
signals to detect epileptic seizures using machine learning
techniques. Chapters present an overview of machine learning
techniques and the tools available, discuss previous studies,
present empirical studies on the performance of the NN and SVM
classifiers, discuss RBF neural networks trained with an improved
PSO algorithm for epilepsy identification, and cover ABC algorithm
optimized RBFNN for classification of EEG signal. Final chapter
present future developments in the field. This book is a valuable
source for bioinformaticians, medical doctors and other members of
the biomedical field who need the most recent and promising
automated techniques for EEG classification.
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