Descripción del título
Pattern recognition and com...
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
Monografía
monografia Rebiun24666387 https://catalogo.rebiun.org/rebiun/record/Rebiun24666387 m o d cr |n||||||||| 191023s2020 sz o 001 0 eng d 1125995647 9783030222734 electronic bk.) 303022273X electronic bk.) 3030222721 9783030222727 10.1007/978-3-030-22 AU@ 000066201502 UPNA0527443 CBUC 991004864289706706 UEM 118163 UPVA 997020999903706 UAM 991007979574604211 CBUC 991004879426706711 CBUC 991010400772406709 CBUC 991010400772406709 UCAR 991008172450404213 YDX eng pn YDX GW5XE LQU OCLCF OCLCQ 006.4 23 Gopi, E. S. Pattern recognition and computational intelligence techniques using Matlab E.S. Gopi Cham Springer ©2020 Cham Cham Springer 1 online resource 1 online resource Text txt rdacontent computer c rdamedia online resource cr rdacarrier Transactions on computational science and computational intelligence 2569-7072 Includes index 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 Pattern recognition systems Computer vision Computational intelligence Computational intelligence Computer vision Pattern recognition systems Electronic books Print version Gopi, E.S. Pattern recognition and computational intelligence techniques using Matlab. Cham : Springer, ©2020 3030222721 9783030222727 (OCoLC)1101356497 Transactions on computational science and computational intelligence