Inventing the future of neurology: Integrated wavelet-chaos-neural network models for knowledge discovery and automated EEG-based diagnosis of neurological disorders
نویسنده
چکیده
July 13, 2008, Sunday 8:00 am 5:00 pm Conference Registration (Conf. Registration Desk) 7:30 8:30 am Informal Meet & Greet – Breakfast (Pavilion 4) 8:30 8:40 am Welcome, Conference Opening Remarks (Pavilion 6) 8:40 9:40 am KEYNOTE(1) (Pavilion 6) Lotfi Zadeh, BISC, UC Berkeley, USA Computation with Imprecise Probabilities 9:40 10:40 am KEYNOTE(2) (Pavilion 6) Hojjat Adeli, The Ohio State University, USA Inventing the Future of Neurology: Integrated Wavelet-Chaos-Neural Network Models for Knowledge Discovery and Automated EEG-Based Diagnosis of Neurological Disorders
منابع مشابه
Chaos-Wavelet-Neural Network Models for Automated EEG-Based Diagnosis of the Neurological Disorders
In this keynote lecture the author presents a research ideology, a novel multi-paradigm methodology, and advanced computational models for automated electroencephalogram (EEG)-based diagnosis of neurological disorders. The methodology is based on adroit integration of three different computing technologies and problem solving paradigms: neural networks, wavelets, and the chaos theory. Examples ...
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