Kniha Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing Patricia Melin

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

An Evolutionary Approach for Neural Networks and Fuzzy Systems

Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: Skladom u dodávateľa
Odosielame za 5-8 dní
99.90
This monograph describes new methods for intelligent pattern recognition using soft computing techni...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2010
Stránok
272
EAN
9783642063251
ISBN
364206325X
Enbook ID
01651592
Hmotnosť
444
Rozmery
155 x 235 x 235

Kompletný popis

This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.

Mohlo by vás zaujímať

10.10
12.36
11.18

Religious Art

Norma A Boeckler
17.75

Charlie Bravo

ROGER NELSON
36.20
70.16

Never Die

Rob J Hayes
13.63

Elvis

Alice Hudson
14.42

The Seary Line

Nicole Lundrigan
17.56
30.71

Berserk Volume 17

Kentaro Miura
10.98
49.94
66.73
9.41

Zákazníci, ktorí si kúpili túto knihu, kúpili tiež

AL RASO

FERNANDEZ LACOMBA
18.83

Ende in Sicht

Ronja von Rönne
11.37
27.76

Mit Dänisch unterwegs

Juliane Forßmann
15.79