Name: Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis (en Inglés)
Price: 173.37 USD
Availability: InStock
Author: Mrugalski, Marcin
ISBN: 9783319015460

portada Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis (en Inglés)

Formato

Libro Físico

Autor

Marcin Mrugalski

Editorial

Springer

Idioma

Inglés

N° páginas

182

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.6 x 1.3 cm

Peso

0.47 kg.

ISBN13

9783319015460

Categorías

Ingeniería: general
Ingeniería de control automático
Inteligencia artificial

Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis (en Inglés)

Marcin Mrugalski (Autor) · Springer · Tapa Dura

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$ 173.37

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis (en Inglés)"

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.