Identification, Adaptation, Learning

Name: Identification, Adaptation, Learning
Brand: Springer, Berlin
SKU: 9783642082481
Price: 1104.81 RON
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The Science of Learning Models from Data

Autor: Sergio Bittanti, Giorgio Picci

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Editura: Springer, Berlin

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

Informații despre carte

Autor

Sergio Bittanti, Giorgio Picci

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2010

Pagini

552

EAN

9783642082481

ISBN

3642082483

Enbook ID

01653280

Editura

Springer, Berlin

Greutate

884

Dimensiuni

152 x 229 x 33

Descriere completă

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

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