Pattern Recognition and Computational Intelligence Techniques Using Matlab

This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks. The Matlab based illustrations along with the code are given for every topic. Readers get a quick basic understanding of various pattern recognition techniques using only the required depth in math. The Matlab program and algorithm are given along with the running text, providing clarity and usefulness of the various techniques.

• Presents pattern recognition and the computational intelligence using Matlab;
• Includes mixtures of theory, math, and algorithms, letting readers understand the concepts quickly;
• Outlines an array of classifiers, various regression models, statistical tests and the techniques for pattern recognition using computational intelligence.

Pattern Recognition and Computational Intelligence Techniques Using Matlab features in the following genres: Communications engineering / telecommunications, Expert systems / knowledge-based systems, Pattern recognition, Digital signal processing (DSP), Data mining, Maths for engineers, Electronics engineering

Pattern Recognition and Computational Intelligence Techniques Using Matlab is available in Hardback

Pattern Recognition and Computational Intelligence Techniques Using Matlab was written by E S Gopi and published by Springer an imprint of Springer International Publishing

Pattern Recognition and Computational Intelligence Techniques Using Matlab has 256 pages

Yes it is part of Transactions on Computational Science and Computational Intelligence series