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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis: 510 (Studies in Computational Intelligence, 510) - Tapa dura

Mrugalski, Marcin

 
9783319015460: Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis: 510 (Studies in Computational Intelligence, 510)
Tapa dura
ISBN 10: 331901546X ISBN 13: 9783319015460
Editorial: Springer, 2013

Sinopsis

The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems.

A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered.

All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

The present book is devoted to problems of adaptation of

artificial neural networks to robust fault diagnosis schemes. It

presents neural networks-based modelling and estimation techniques used

for designing robust fault diagnosis schemes for non-linear dynamic systems.

A part of the book focuses on fundamental issues such as architectures of

dynamic neural networks, methods for designing of neural networks and fault

diagnosis schemes as well as the importance of robustness. The book is of a tutorial

value and can be perceived as a good starting point for the new-comers

to this field. The book is also devoted to advanced schemes of description of

neural model uncertainty. In particular, the methods of computation of neural

networks uncertainty with robust parameter estimation are presented. Moreover,

a novel approach for system identification with the state-space GMDH

neural network is delivered.

All the concepts described in this book are illustrated by both simple

academic illustrative examples and practical applications.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2013
Idioma
Inglés
ISBN 10 
331901546X
ISBN 13 
9783319015460
Encuadernación
Tapa dura
Número de páginas
206
Contacto del fabricante
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Alemania

Otras ediciones populares con el mismo título

9783319032863: Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis: 510 (Studies in Computational Intelligence)

Edición Destacada

ISBN 10:  3319032860 ISBN 13:  9783319032863
Editorial: Springer, 2015
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