Pattern Recognition and Computational Intelligence Techniques Using Matlab

✍ Scribed by E. S. Gopi

• Publisher: Springer International Publishing
• Year: 2020
• Tongue: English
• Leaves: 263
• Series: Transactions on Computational Science and Computational Intelligence
• Edition: 1st ed. 2020
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xiii
Dimensionality Reduction Techniques (E. S. Gopi)....Pages 1-29
Linear Classifier Techniques (E. S. Gopi)....Pages 31-67
Regression Techniques (E. S. Gopi)....Pages 69-120
Probabilistic Supervised Classifier and Unsupervised Clustering (E. S. Gopi)....Pages 121-163
Computational Intelligence (E. S. Gopi)....Pages 165-228
Statistical Test in Pattern Recognition (E. S. Gopi)....Pages 229-249
Back Matter ....Pages 251-256

✦ Subjects

Engineering; Communications Engineering, Networks; Mathematical and Computational Engineering; Signal, Image and Speech Processing; Pattern Recognition; Data Mining and Knowledge Discovery