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By Satapathy Sandeep
Sandeep Satapathy, 2019
This book provides essential knowledge for classifying EEG brain signals to detect epileptic seizures through machine learning. It explores various machine learning techniques and available tools, reviews prior research, and presents empirical studies on NN and SVM classifier performance. The text also details RBF neural networks optimized with an improved PSO algorithm for epilepsy identification and an ABC algorithm-optimized RBFNN for EEG signal classification. The final chapter looks at future developments in the field.