Isbn: 9781447112013 - adaptive control with recurrent high-order neural networks: theory and industrial applications (advances in industrial control) (12 resultados)

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  • Idioma: Inglés

    Editorial: Springer, 2011

    1447112016 / 9781447112013

    Serie: Libro 5 de 167 - Advances in Industrial Control

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Condición: New. In English.

  • Idioma: Inglés

    Editorial: Springer, 2011

    1447112016 / 9781447112013

    Serie: Libro 5 de 167 - Advances in Industrial Control

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    Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle

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    Cantidad disponible: 4 disponibles

    Condición: New. pp. 212.

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    Idioma: Inglés

    Editorial: Springer, 2011

    1447112016 / 9781447112013

    Serie: Libro 5 de 167 - Advances in Industrial Control

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Taschenbuch. Condición: Neu. Adaptive Control with Recurrent High-order Neural Networks | Theory and Industrial Applications | George A. Rovithakis (u. a.) | Taschenbuch | Advances in Industrial Control | xii | Englisch | 2011 | Springer | EAN 9781447112013 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Idioma: Inglés

    Editorial: Springer, 2011

    1447112016 / 9781447112013

    Serie: Libro 5 de 167 - Advances in Industrial Control

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies . , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Neural networks is one of those areas where an initial burst of enthusiasm and optimism leads to an explosion of papers in the journals and many presentations at conferences but it is only in the last decade that significant theoretical work on stability, convergence and robustness for the use of neural networks in control systems has been tackled. George Rovithakis and Manolis Christodoulou have been interested in these theoretical problems and in the practical aspects of neural network applications to industrial problems. This very welcome addition to the Advances in Industrial Control series provides a succinct report of their research. The neural network model at the core of their work is the Recurrent High Order Neural Network (RHONN) and a complete theoretical and simulation development is presented. Different readers will find different aspects of the development of interest. The last chapter of the monograph discusses the problem of manufacturing or production process scheduling.

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    Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Idioma: Inglés

    Editorial: Springer, 2011

    1447112016 / 9781447112013

    Serie: Libro 5 de 167 - Advances in Industrial Control

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    Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    Condición: new. Questo è un articolo print on demand.

  • Idioma: Inglés

    Editorial: Springer London Dez 2011, 2011

    1447112016 / 9781447112013

    Serie: Libro 5 de 167 - Advances in Industrial Control

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies . , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Neural networks is one of those areas where an initial burst of enthusiasm and optimism leads to an explosion of papers in the journals and many presentations at conferences but it is only in the last decade that significant theoretical work on stability, convergence and robustness for the use of neural networks in control systems has been tackled. George Rovithakis and Manolis Christodoulou have been interested in these theoretical problems and in the practical aspects of neural network applications to industrial problems. This very welcome addition to the Advances in Industrial Control series provides a succinct report of their research. The neural network model at the core of their work is the Recurrent High Order Neural Network (RHONN) and a complete theoretical and simulation development is presented. Different readers will find different aspects of the development of interest. The last chapter of the monograph discusses the problem of manufacturing or production process scheduling. 212 pp. Englisch.

  • Idioma: Inglés

    Editorial: Springer London, 2011

    1447112016 / 9781447112013

    Serie: Libro 5 de 167 - Advances in Industrial Control

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    Librería: moluna, Greven, Alemaniamoluna

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    EUR 92,27

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    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The applications of neural networks are areas of considerable interest at presentConcise and very tightly targetted textWill be of interest to academic control engineers outside the series normal industrial audienceThe series Advances in Indust.

  • Idioma: Inglés

    Editorial: Springer, 2011

    1447112016 / 9781447112013

    Serie: Libro 5 de 167 - Advances in Industrial Control

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    EUR 148,13

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    Condición: New. Print on Demand pp. 212 30 Figures, 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

  • Idioma: Inglés

    Editorial: Springer, 2011

    1447112016 / 9781447112013

    Serie: Libro 5 de 167 - Advances in Industrial Control

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    EUR 151,00

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    Condición: New. PRINT ON DEMAND pp. 212.

  • Idioma: Inglés

    Editorial: Springer, Springer Dez 2011, 2011

    1447112016 / 9781447112013

    Serie: Libro 5 de 167 - Advances in Industrial Control

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies . , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Neural networks is one of those areas where an initial burst of enthusiasm and optimism leads to an explosion of papers in the journals and many presentations at conferences but it is only in the last decade that significant theoretical work on stability, convergence and robustness for the use of neural networks in control systems has been tackled. George Rovithakis and Manolis Christodoulou have been interested in these theoretical problems and in the practical aspects of neural network applications to industrial problems. This very welcome addition to the Advances in Industrial Control series provides a succinct report of their research. The neural network model at the core of their work is the Recurrent High Order Neural Network (RHONN) and a complete theoretical and simulation development is presented. Different readers will find different aspects of the development of interest. The last chapter of the monograph discusses the problem of manufacturing or production process scheduling.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 212 pp. Englisch.