Identification, Adaptation, Learning

Name: Identification, Adaptation, Learning
Brand: Springer, Berlin
SKU: 9783642082481
Price: 4566 CZK
Availability: InStock

The Science of Learning Models from Data

Autor: Sergio Bittanti, Giorgio Picci

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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This book offers a tutorial view of recent trends in the science of modelling, adaptation, and learn...

Informace o knize

Autor

Sergio Bittanti, Giorgio Picci

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2010

Stránek

552

EAN

9783642082481

ISBN

3642082483

Enbook ID

01653280

Vydavatel

Springer, Berlin

Hmotnost

884

Rozměry

152 x 229 x 33

Kompletní popis

This book offers a tutorial view of recent trends in the science of modelling, adaptation, and learning. The most important modern approaches to identification, namely the stochastic, behavioral, subspace, and frequency domain approaches, are discussed thoroughly. On adaptation, tuning the parameters of a linear model is presented as a cure for uncertainty, and the asymptotics of recursive least squares and self-tuning systems are explained simply after a fully deterministic analysis. For constructing nonlinear models from data, neural networks and wavelets are considered as useful nonlinear tools, and fuzzy logic is presented as a way of coping with qualitative information. A final chapter deals with optimization methods. The book will become an important reference for researchers in the field.

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Identification, Adaptation, Learning

The Science of Learning Models from Data

Informace o knize

Kompletní popis

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