MATLAB and Simulink Based Books
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. Retrieve companion software
Learn why MATLAB lets you develop algorithms much faster than low-level languages such as C, C++, or Fortran.Get free kit