Andere Kunden interessierten sich auch für
![Recent Metaheuristic Computation Schemes in Engineering]( "Recent Metaheuristic Computation Schemes in Engineering")
Recent Metaheuristic Computation Schemes in Engineering117,99 €![Recent Metaheuristic Computation Schemes in Engineering]( "Recent Metaheuristic Computation Schemes in Engineering")
Recent Metaheuristic Computation Schemes in Engineering171,19 €![Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems]( "Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems")
Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems117,99 €![Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems]( "Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems")
Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems117,99 €![Evolvable Machines]( "Evolvable Machines")
Evolvable Machines83,99 €![Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools]( "Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools")
Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools110,99 €![Robust Discrete-Time Flight Control of UAV with External Disturbances]( "Robust Discrete-Time Flight Control of UAV with External Disturbances")
Robust Discrete-Time Flight Control of UAV with External Disturbances125,99 €
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.
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.
From the reviews:
"The book deals with the use of artificial neural networks in robust fault diagnosis ... . The ideas presented throughout the book are accompanied by examples and concrete applications. The book is devoted both to beginners in the field of fault diagnosis and advanced researchers in ANN model uncertainty." (Smaranda Belciug, zbMATH, Vol. 1280, 2014)
"The book deals with the use of artificial neural networks in robust fault diagnosis ... . The ideas presented throughout the book are accompanied by examples and concrete applications. The book is devoted both to beginners in the field of fault diagnosis and advanced researchers in ANN model uncertainty." (Smaranda Belciug, zbMATH, Vol. 1280, 2014)