Identification, Adaptation, Learning

Name: Identification, Adaptation, Learning
SKU: 2836985
Price: 578.00 NZD
Availability: InStock

The Science of Learning Models from Data

Format:

Hardback

Series:

NATO ASI Subseries F:

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Description

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.

Release date NZ

July 1st, 1996

Audiences

Postgraduate, Research & Scholarly
Professional & Vocational

Contributors

Edited by Giorgio Picci
Edited by Sergio Bittanti

Illustrations

XXI, 552 p.

Pages

552

Series

NATO ASI Subseries F:

Dimensions

155x235x36

ISBN-13

9783540610809

Product ID

2836985

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Identification, Adaptation, Learning

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