Comprehensive Analysis of Extreme Learning Machine and Continuous Genetic Algorithm for Robust Classification of Epilepsy from EEG Signals
by Harikumar Rajaguru, Sunil Kumar Prabhakar
This focused study explores extreme learning machines and continuous genetic algorithms for robust epilepsy classification from EEG signals. Combining computational intelligence with biomedical signal analysis, it offers relevant material for readers studying machine learning, pattern recognition, EEG analysis, and technology-driven approaches to medical classification.
About This Book
This book examines the use of an extreme learning machine and a continuous genetic algorithm for robust classification of epilepsy from EEG signals.
It focuses on computational approaches to analyzing electroencephalographic data and applying machine-learning methods to a medical classification problem.
The work is relevant to readers interested in biomedical signal processing, intelligent systems, pattern recognition, and computational methods in epilepsy research.
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