Ouvrages basés sur MATLAB et Simulink
Written for practicioners developing or investigating pattern recognition systems, this text provides users with the information they need to choose the most appropriate method for a given class of problems. The text includes clear explanations of both classical and new methods, including neural networks, stochastic methods, genetic algorithms, and theory of learning. A supplemental manual that introduces and solves application examples with MATLAB is available for this text: Computer Manual in MATLAB to Accompany Pattern Classification, 2e by David G. Stork and Elad Yom-Tov (ISBN 0-471-42977-5).
Companion Software: A set of MATLAB M-files is available. Accéder aux logiciels adjoints