Identification, Adaptation, Learning

The Science of Learning Models from Data

By: Sergio Bittanti (Editor), Giorgio Picci (Editor)

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Hardcover | 1 July 1996

At a Glance

Hardcover
588 Pages

Dimensions(cm)
24.77 x 16.51 x 2.54

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This book collects the lectures given at the NATO Advanced Study Institute From Identijication to Learning held in Villa Olmo, Como, Italy, from August 22 to September 2, 1994. The school was devoted to the themes of Identijication, Adaptation and Learning, as they are currently understood in the Information and Contral engineering community, their development in the last few decades, their inter connections and their applications. These titles describe challenging, exciting and rapidly growing research areas which are of interest both to contral and communication engineers and to statisticians and computer scientists. In accordance with the general goals of the Institute, and notwithstanding the rat her advanced level of the topics discussed, the presentations have been generally kept at a fairly tutorial level. For this reason this book should be valuable to a variety of rearchers and to graduate students interested in the general area of Control, Signals and Information Pracessing. As the goal of the school was to explore a common methodologicalline of reading the issues, the flavor is quite interdisciplinary. We regard this as an original and valuable feature of this book.

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You Can Find This Book In

Non-Fiction Mathematics Probability & Statistics Computing & I.T.Graphical & Digital Media Applications 3D Graphics & Modelling Computer Science Artificial Intelligence Machine Learning Engineering & Technology Electronics & Communications Engineering Electronics Engineering

Automatic Control Engineering Computer Vision

Introduction
Geometric Methods for State Space Identification	p. 1
Parameter Estimation of Multivariable Systems Using Balanced Realizations	p. 70
Balanced Canonical Forms	p. 120
From Data to State Model	p. 184
Identification of Linear Systems from Noisy Data	p. 246
Identification in [actual symbol not reproducible]: Theory and Applications	p. 266
System Identification with Information Theoretic Criteria	p. 289
Least Squares Based Self-Tuning Control Systems	p. 339
On Neural Network Model Structures in System Identification	p. 366
An Overview of Computational Learning Theory and Its Applications to Neural Network Training	p. 400
Just-in-Time Learning and Estimation	p. 423
Wavelets in Identification	p. 435
Fuzzy Logic Modelling and Control	p. 479
Searching for the Best: Stochastic Approximation, Simulated Annealing and Related Procedures	p. 514
List of Contributors	p. 550
Table of Contents provided by Blackwell. All Rights Reserved.

Identification, Adaptation, Learning

The Science of Learning Models from Data

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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