Kniha Nonlinear System Identification Oliver Nelles

Nonlinear System Identification

From Classical Approaches to Neural Networks and Fuzzy Models

Autor: Oliver Nelles
Jazyk: Angličtina
Väzba: Pevná
Vydavateľ: Springer, Berlin
Dostupnosť: Skladom u dodávateľa
Odosielame za 10-13 dní
146.31
This book covers the most common and important approaches for the identification of nonlinear static...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
2000
Stránok
786
EAN
9783540673699
ISBN
3540673695
Enbook ID
01567346
Vydavateľ
Hmotnosť
1376
Rozmery
164 x 239 x 51

Kompletný popis

This book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. Additionally, it provides the reader with the necessary background on optimization techniques making the book self-contained. The emphasis is put on modern methods based on neural networks and fuzzy systems without neglecting the classical approaches. The entire book is written from an engineering point-of-view, focusing on the intuitive understanding of the basic relationships. This is supported by many illustrative figures. Advanced mathematics is avoided. Thus, the book is suitable for last year undergraduate and graduate courses as well as research and development engineers in industries.

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