Classification of EEG Signal by Training Neural Network with Swarm Optimization for Identification of Epilepsy

EEG signal classification is a pivotal task for identification of different brain related disorders. The paper is about classification of EEG signal presenting a novel approach for the identification of whether the seizure is epileptic or normal that technique is based on training of neural network with having improved simplified swarm optimization algorithm. Our proposed methodology is evaluated with different parameters and testing accuracy of 94 % is reported for a publicly available dataset.