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Introduction to Pattern Recognition: A Matlab Approach Aggelos Pikrakis, Dionisis Cavouras, Konstantinos Koutroumbas, Sergios Theodoridis
Publisher: Academic Press

For this purpose and to To decrease these effects on EMG pattern recognition system and to eliminate its dependence on individual subjects, real-time training methods were introduced [1]. Structural, Neural and Fuzzy Logic Approaches. Download Introduction to Pattern Recognition : A Matlab Approach . Koutroumbas (Academic Press, 2009). Traffic flow and computer science. The aim of this book is to serve pedagogic goals as a complement of the book Pattern Recognition, 4th Edition, by S. We propose to use an intelligent approach based on adaptive neuro-fuzzy inference system (ANFIS) integrated with a real-time learning scheme to identify hand motion commands. ------------------------------------------------------------------------------------------. An Introduction to pattern recognition: A MATLAB approach, by: S. Introduction To Pattern Recognition: Statistical, Structural. Cavouras, Introduction to Pattern Recognition: A Matlab Approach, Academic Press, 2010. The main limitation of our approach is that the smartphone must be worn on the chest. Introduction to Pattern Recognition: A Matlab Approach, 1st. Koutroumbas, Academic press, 216 pages, 3.429 M.B. Introduction to Statistical Pattern Recognition (2nd. The proposed feedback system was implemented by MATLAB software.