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Pattern recognition and computationa...

Gopi, E. S.

Pattern recognition and computational intelligence techniques using Matlab

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pattern recognition and computational intelligence techniques using Matlabby E. S. Gopi.
Author:	Gopi, E. S.
Published:	Cham :Springer International Publishing :2020.
Description:	xiii, 256 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Pattern recognition systems.
Online resource:	https://doi.org/10.1007/978-3-030-22273-4
ISBN:	9783030222734$q(electronic bk.)

Pattern recognition and computational intelligence techniques using Matlab
Gopi, E. S.

Pattern recognition and computational intelligence techniques using Matlab[electronic resource] /by E. S. Gopi. - Cham :Springer International Publishing :2020. - xiii, 256 p. :ill., digital ;24 cm. - Transactions on computational science and computational intelligence,2569-7072. - Transactions on computational science and computational intelligence..

Chapter1: Dimensionality Reduction Techniques -- Chapter2: Linear classifier techniques -- Chapter3: Regression techniques. Chapter4: Probabilistic supervised classifier and unsupervised clustering -- Chapter5: Computational intelligence -- Chapter6: Statistical test in pattern recognition.

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.

ISBN: 9783030222734$q(electronic bk.)

Standard No.: 10.1007/978-3-030-22273-4doiSubjects--Topical Terms:

183725
Pattern recognition systems.

LC Class. No.: TK7882.P3

Dewey Class. No.: 006.4

Pattern recognition and computational intelligence techniques using Matlab
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300 $a xiii, 256 p. : $b ill., digital ; $c 24 cm.
490 1 $a Transactions on computational science and computational intelligence, $x 2569-7072
505 0 $a Chapter1: Dimensionality Reduction Techniques -- Chapter2: Linear classifier techniques -- Chapter3: Regression techniques. Chapter4: Probabilistic supervised classifier and unsupervised clustering -- Chapter5: Computational intelligence -- Chapter6: Statistical test in pattern recognition.
520 $a 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.
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