Kniha Pattern Classification - A Unified View of Statistical and Neural Approaches Jurgen Schurmann

Pattern Classification - A Unified View of Statistical and Neural Approaches

Jazyk: Angličtina
Vazba: Pevná
Dostupnost: Skladem u dodavatele
Odesíláme za 10-18 dnů
4 395
PATTERN CLASSIFICATION a unified view of statistical and neural approaches The product of years of...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
1996
Stránek
392
EAN
9780471135340
ISBN
0471135348
Enbook ID
04887753
Hmotnost
734
Rozměry
165 x 242 x 26

Kompletní popis

PATTERN CLASSIFICATION a unified view of statistical and neural approaches The product of years of research and practical experience in pattern classification, this book offers a theory-based engineering perspective on neural networks and statistical pattern classification. Pattern Classification sheds new light on the relationship between seemingly unrelated approaches to pattern recognition, including statistical methods, polynomial regression, multilayer perceptron, and radial basis functions. Important topics such as feature selection, reject criteria, classifier performance measurement, and classifier combinations are fully covered, as well as material on techniques that, until now, would have required an extensive literature search to locate. A full program of illustrations, graphs, and examples helps make the operations and general properties of different classification approaches intuitively understandable. Offering a lucid presentation of complex applications and their algorithms, Pattern Classification is an invaluable resource for researchers, engineers, and graduate students in this rapidly developing field.

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