Könyv Identification, Adaptation, Learning Sergio Bittanti

Identification, Adaptation, Learning

The Science of Learning Models from Data

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
76 973 Ft
This book offers a tutorial view of recent trends in the science of modelling, adaptation, and learn...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2010
oldal
552
EAN
9783642082481
ISBN
3642082483
Enbook ID
01653280
Súly
884
Méretek
152 x 229 x 33

Teljes leírás

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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