Artículos relacionados a Fuzzy Neural Networks for Real Time Control Applications:...
Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning - Tapa blanda
Sinopsis
AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS
Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book!
Not only does this book stand apart from others in its focus but also in its application-based presentation style. Prepared in a way that can be easily understood by those who are experienced and inexperienced in this field. Readers can benefit from the computer source codes for both identification and control purposes which are given at the end of the book.
A clear and an in-depth examination has been made of all the necessary mathematical foundations, type-1 and type-2 fuzzy neural network structures and their learning algorithms as well as their stability analysis.
You will find that each chapter is devoted to a different learning algorithm for the tuning of type-1 and type-2 fuzzy neural networks; some of which are:
. Gradient descent
. Levenberg-Marquardt
. Extended Kalman filter
In addition to the aforementioned conventional learning methods above, number of novel sliding mode control theory-based learning algorithms, which are simpler and have closed forms, and their stability analysis have been proposed. Furthermore, hybrid methods consisting of particle swarm optimization and sliding mode control theory-based algorithms have also been introduced.
The potential readers of this book are expected to be the undergraduate and graduate students, engineers, mathematicians and computer scientists. Not only can this book be used as a reference source for a scientist who is interested in fuzzy neural networks and their real-time implementations but also as a course book of fuzzy neural networks or artificial intelligence in master or d
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca de los autores
Erdal Kayacan received a B.Sc. degree in electrical engineering from Istanbul Technical University, Istanbul, Turkey, in 2003 and a M.Sc. degree in systems and control engineering from Bogazici University, Istanbul, Turkey, in 2006. In September 2011, he received a Ph.D. degree in electrical and electronic engineering at Bogazici University, Istanbul, Turkey. After finishing his post-doctoral research in KU Leuven at the division of mechatronics, biostatistics and sensors (MeBioS), he is currently pursuing his research in Nanyang Technological University at the School of Mechanical and Aerospace Engineering as an assistant professor.
His research areas are flight mechanics and control, unmanned aerial vehicles, robotics, mechatronics, soft computing methods, iterative learning control techniques, sliding mode control and model predictive control.
Dr. Kayacan is a Senior Member of IEEE. He is currently serving as an editor for Journal on Automation and Control Engineering (JACE) and editorial advisory board in Grey Systems Theory and Application.
Has published over 20 papers in international peer-reviewed Journals, and presented 25 international Conference papers.
Mojtaba Ahmadieh Khanesar received a B.Sc. degree in Control Engineering from K. N. Toosi University of Technology, Tehran, Iran, in 2005 and a M.Sc. degree in control engineering from K. N. Toosi University of Technology, Tehran, Iran, in 2007. In February 2012, he received a Ph.D. degree in Control Engineering at K. N. Toosi University of Technology, Tehran, Iran.
In 2010, he has held a 9 months visiting student position at Bogazici University, Istanbul, Turkey. He is currently an assistant professor in the Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran. His current research interests are identification, sliding mode control, adaptive controller design, fuzzy systems and intelligent optimization.
Dr. Khanesar is a member of IEEE technical committee on soft computing and IEEE technical committee on networked control systems. He is currently serving as a member of the editorial board for International Journal of Social Computing and Cyber-Physical Systems. He has published over 12 papers in international peer-reviewed Journals, and presented over 20 international Conference papers.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialButterworth-Heinemann
- Año de publicación2015
- ISBN 10 0128026871
- ISBN 13 9780128026878
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas264
- Contacto del fabricanteno disponible
Comprar nuevo
Ver este artículo
EUR 76,60
EUR 17,77 gastos de envío desde Reino Unido a España
Destinos, gastos y plazos de envíoResultados de la búsqueda para Fuzzy Neural Networks for Real Time Control Applications:...
Imagen de archivo
Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning
Publicado por
Butterworth-Heinemann 2015-09-24, 2015
ISBN 10: 0128026871
ISBN 13: 9780128026878
Nuevo
Paperback
Librería: Chiron Media, Wallingford, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. Nº de ref. del artículo: 6666-ELS-9780128026878
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Fuzzy Neural Networks for Real Time Control Applications
Publicado por
Elsevier Science Sep 2015, 2015
ISBN 10: 0128026871
ISBN 13: 9780128026878
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book! Not only does this book stand apart from others in its focus but also in its application-based presentation style. Prepared in a way that can be easily understood by those who are experienced and inexperienced in this field. Readers can benefit from the computer source codes for both identification and control purposes which are given at the end of the book. A clear and an in-depth examination has been made of all the necessary mathematical foundations, type-1 and type-2 fuzzy neural network structures and their learning algorithms as well as their stability analysis. You will find that each chapter is devoted to a different learning algorithm for the tuning of type-1 and type-2 fuzzy neural networks; some of which are: . Gradient descent . Levenberg-Marquardt . Extended Kalman filter In addition to the aforementioned conventional learning methods above, number of novel sliding mode control theory-based learning algorithms, which are simpler and have closed forms, and their stability analysis have been proposed. Furthermore, hybrid methods consisting of particle swarm optimization and sliding mode control theory-based algorithms have also been introduced. The potential readers of this book are expected to be the undergraduate and graduate students, engineers, mathematicians and computer scientists. Not only can this book be used as a reference source for a scientist who is interested in fuzzy neural networks and their real-time implementations but also as a course book of fuzzy neural networks or artificial intelligence in master or doctorate university studies. We hope that this book will serve its main purpose successfully. 264 pp. Englisch. Nº de ref. del artículo: 9780128026878
Cantidad disponible: 2 disponibles
Imagen de archivo
Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning
Publicado por
Butterworth-Heinemann, 2015
ISBN 10: 0128026871
ISBN 13: 9780128026878
Nuevo
Tapa blanda
Librería: Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. pp. 320. Nº de ref. del artículo: 373399973
Cantidad disponible: 3 disponibles
Imagen de archivo
Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning
Publicado por
Butterworth-Heinemann, 2015
ISBN 10: 0128026871
ISBN 13: 9780128026878
Nuevo
Paperback
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 320 pages. 8.75x6.00x0.75 inches. In Stock. Nº de ref. del artículo: __0128026871
Cantidad disponible: 2 disponibles
Imagen de archivo
Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning
Publicado por
Elsevier - Health Sciences Division, 2015
ISBN 10: 0128026871
ISBN 13: 9780128026878
Nuevo
Paperback / softback
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 529. Nº de ref. del artículo: B9780128026878
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning
Publicado por
Butterworth-Heinemann, 2015
ISBN 10: 0128026871
ISBN 13: 9780128026878
Nuevo
Tapa blanda
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. pp. 320. Nº de ref. del artículo: 26372645498
Cantidad disponible: 3 disponibles
Imagen del vendedor
Fuzzy Neural Networks for Real Time Control Applications : Concepts, Modeling and Algorithms for Fast Learning
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book! Not only does this book stand apart from others in its focus but also in its application-based presentation style. Prepared in a way that can be easily understood by those who are experienced and inexperienced in this field. Readers can benefit from the computer source codes for both identification and control purposes which are given at the end of the book. A clear and an in-depth examination has been made of all the necessary mathematical foundations, type-1 and type-2 fuzzy neural network structures and their learning algorithms as well as their stability analysis. You will find that each chapter is devoted to a different learning algorithm for the tuning of type-1 and type-2 fuzzy neural networks; some of which are: . Gradient descent . Levenberg-Marquardt . Extended Kalman filter In addition to the aforementioned conventional learning methods above, number of novel sliding mode control theory-based learning algorithms, which are simpler and have closed forms, and their stability analysis have been proposed. Furthermore, hybrid methods consisting of particle swarm optimization and sliding mode control theory-based algorithms have also been introduced. The potential readers of this book are expected to be the undergraduate and graduate students, engineers, mathematicians and computer scientists. Not only can this book be used as a reference source for a scientist who is interested in fuzzy neural networks and their real-time implementations but also as a course book of fuzzy neural networks or artificial intelligence in master or doctorate university studies. We hope that this book will serve its main purpose successfully. Nº de ref. del artículo: 9780128026878
Cantidad disponible: 2 disponibles
Imagen del vendedor
Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning
Publicado por
Elsevier Science & Technology|Butterworth-Heinemann, 2015
ISBN 10: 0128026871
ISBN 13: 9780128026878
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 f. Nº de ref. del artículo: 594361028
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning
Publicado por
Butterworth-Heinemann, 2015
ISBN 10: 0128026871
ISBN 13: 9780128026878
Nuevo
Tapa blanda
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. pp. 320. Nº de ref. del artículo: 18372645488
Cantidad disponible: 3 disponibles
Imagen de archivo
Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning
Publicado por
Butterworth-Heinemann, 2015
ISBN 10: 0128026871
ISBN 13: 9780128026878
Nuevo
Tapa blanda
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
Calificación del vendedor: 5 de 5 estrellas
Condición: new. Questo è un articolo print on demand. Nº de ref. del artículo: 1e321a2b7f238e9d8252066dc75e9ddb
Cantidad disponible: Más de 20 disponibles