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Lingua: Inglese
Editore: Springer, 2014
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Hardcover. Condizione: As New. No Dust Jacket. 9.2 X 6.1 X 0.8 inches; 261 pages.
Growing Adaptive Machines : Combining Development and Learning in Artificial Neural Networks
Kowaliw, Taras (EDT); Bredeche, Nicolas (EDT); Doursat, René (EDT)
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Condizione: New.
Lingua: Inglese
Editore: Springer, 2014
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Condizione: New. In English.
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Growing Adaptive Machines : Combining Development and Learning in Artificial Neural Networks
Kowaliw, Taras (EDT); Bredeche, Nicolas (EDT); Doursat, René (EDT)
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: New.
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 268 Softcover reprint of the original 1st ed. 2014 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer, 2014
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. 272.
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and productive new technologies. In terms of generating intelligence, however, this pursuit has yielded only limi…ted success. This book explores the hypothesis that adaptive growth is a means of moving forward. By emulating the biological process of development, we can incorporate desirable characteristics of natural neural systems into engineered designs and thus move closer towards the creation of brain-like systems. The particular focus is on how to design artificial neural networks for engineering tasks.The book consists of contributions from 18 researchers, ranging from detailed reviews of recent domains by senior scientists, to exciting new contributions representing the state of the art in machine learning research. The book begins with broad overviews of artificial neurogenesis and bio-inspired machine learning, suitable both as an introduction to the domains and as a reference for experts. Several contributions provide perspectives and future hypotheses on recent highly successful trains of research, including deep learning, the Hyper NEAT model of developmental neural network design, and a simulation of the visual cortex. Other contributions cover recent advances in the design of bio-inspired artificial neural networks, including the creation of machines for classification, the behavioural control of virtual agents, the design of virtual multi-component robots and morphologies and the creation of flexible intelligence. Throughout, the contributors share their vast expertise on the means and benefits of creating brain-like machines.This book is appropriate for advanced students and practitioners of artificial intelligence and machine learning.
Lingua: Inglese
Editore: Springer, 2014
Serie: Libro 85 di 538 - Studies in Computational Intelligence
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 118,16
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and productive new technologies. In terms of generating intelligence, however, this pursuit has yielded only limited suc…cess. This book explores the hypothesis that adaptive growth is a means of moving forward. By emulating the biological process of development, we can incorporate desirable characteristics of natural neural systems into engineered designs and thus move closer towards the creation of brain-like systems. The particular focus is on how to design artificial neural networks for engineering tasks.The book consists of contributions from 18 researchers, ranging from detailed reviews of recent domains by senior scientists, to exciting new contributions representing the state of the art in machine learning research. The book begins with broad overviews of artificial neurogenesis and bio-inspired machine learning, suitable both as an introduction to the domains and as a reference for experts. Several contributions provide perspectives and future hypotheses on recent highly successful trains of research, including deep learning, the Hyper NEAT model of developmental neural network design, and a simulation of the visual cortex. Other contributions cover recent advances in the design of bio-inspired artificial neural networks, including the creation of machines for classification, the behavioural control of virtual agents, the design of virtual multi-component robots and morphologies and the creation of flexible intelligence. Throughout, the contributors share their vast expertise on the means and benefits of creating brain-like machines.This book is appropriate for advanced students and practitioners of artificial intelligence and machine learning.
Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks
Kowaliw, Taras (Editor)/ Bredeche, Nicolas (Editor)/ Doursat, René (Editor)
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2014
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 261 pages. 9.75x6.75x0.75 inches. In Stock.
Altre immaginiLingua: Inglese
Editore: Springer, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Growing Adaptive Machines | Combining Development and Learning in Artificial Neural Networks | Taras Kowaliw (u. a.) | Taschenbuch | Studies in Computational Intelligence | vii | Englisch | 2016 | Springer | EAN 9783662509449 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr.…17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks
Kowaliw, Taras (Editor)/ Bredeche, Nicolas (Editor)/ Doursat, René (Editor)
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. reprint edition. 272 pages. 9.25x6.10x0.64 inches. In Stock.
Growing Adaptive Machines : Combining Development and Learning in Artificial Neural Networks
Kowaliw, Taras (EDT); Bredeche, Nicolas (EDT); Doursat, René (EDT)
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Growing Adaptive Machines : Combining Development and Learning in Artificial Neural Networks
Kowaliw, Taras (EDT); Bredeche, Nicolas (EDT); Doursat, René (EDT)
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer, 2014
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Berlin Heidelberg Sep 2016, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and productive new technologies. In terms of generating intelligence, however, this pursuit has y…ielded only limited success. This book explores the hypothesis that adaptive growth is a means of moving forward. By emulating the biological process of development, we can incorporate desirable characteristics of natural neural systems into engineered designs and thus move closer towards the creation of brain-like systems. The particular focus is on how to design artificial neural networks for engineering tasks.The book consists of contributions from 18 researchers, ranging from detailed reviews of recent domains by senior scientists, to exciting new contributions representing the state of the art in machine learning research. The book begins with broad overviews of artificial neurogenesis and bio-inspired machine learning, suitable both as an introduction to the domains and as a reference for experts. Several contributions provide perspectives and future hypotheses on recent highly successful trains of research, including deep learning, the Hyper NEAT model of developmental neural network design, and a simulation of the visual cortex. Other contributions cover recent advances in the design of bio-inspired artificial neural networks, including the creation of machines for classification, the behavioural control of virtual agents, the design of virtual multi-component robots and morphologies and the creation of flexible intelligence. Throughout, the contributors share their vast expertise on the means and benefits of creating brain-like machines.This book is appropriate for advanced students and practitioners of artificial intelligence and machine learning. 272 pp. Englisch.
Lingua: Inglese
Editore: Springer Berlin Heidelberg Jun 2014, 2014
Serie: Libro 85 di 538 - Studies in Computational Intelligence
- Rilegato
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 106,99
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and productive new technologies. In terms of generating intelligence, however, this pursuit has yielded…only limited success. This book explores the hypothesis that adaptive growth is a means of moving forward. By emulating the biological process of development, we can incorporate desirable characteristics of natural neural systems into engineered designs and thus move closer towards the creation of brain-like systems. The particular focus is on how to design artificial neural networks for engineering tasks.The book consists of contributions from 18 researchers, ranging from detailed reviews of recent domains by senior scientists, to exciting new contributions representing the state of the art in machine learning research. The book begins with broad overviews of artificial neurogenesis and bio-inspired machine learning, suitable both as an introduction to the domains and as a reference for experts. Several contributions provide perspectives and future hypotheses on recent highly successful trains of research, including deep learning, the Hyper NEAT model of developmental neural network design, and a simulation of the visual cortex. Other contributions cover recent advances in the design of bio-inspired artificial neural networks, including the creation of machines for classification, the behavioural control of virtual agents, the design of virtual multi-component robots and morphologies and the creation of flexible intelligence. Throughout, the contributors share their vast expertise on the means and benefits of creating brain-like machines.This book is appropriate for advanced students and practitioners of artificial intelligence and machine learning. 272 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 268.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research in Growing Adaptive MachinesPresents development and learning in Artificial Neural NetworksEdited results of the DevLeaNN workshop on development and learning in Artificial Neural Networks held in Par…is, October 27-28 2012.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2014
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research in Growing Adaptive MachinesPresents development and learning in Artificial Neural NetworksEdited results of the DevLeaNN workshop on development and learning in Artificial Neural Networks held in Par…is, October 27-28 2012.
Lingua: Inglese
Editore: Springer, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 268.
Lingua: Inglese
Editore: Springer, 2014
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand pp. 272 96 Illus. (14 Col.).
Lingua: Inglese
Editore: Springer, 2014
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND pp. 272.
Lingua: Inglese
Editore: Springer, Springer Jun 2014, 2014
Serie: Libro 85 di 538 - Studies in Computational Intelligence
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and productive new technologies. In terms of generating intelligence, however, this pursuit has yielded only… limited success. This book explores the hypothesis that adaptive growth is a means of moving forward. By emulating the biological process of development, we can incorporate desirable characteristics of natural neural systems into engineered designs and thus move closer towards the creation of brain-like systems. The particular focus is on how to design artificial neural networks for engineering tasks.The book consists of contributions from 18 researchers, ranging from detailed reviews of recent domains by senior scientists, to exciting new contributions representing the state of the art in machine learning research. The book begins with broad overviews of artificial neurogenesis and bio-inspired machine learning, suitable both as an introduction to the domains and as a reference for experts. Several contributions provide perspectives and future hypotheses on recent highly successful trains of research, including deep learning, the Hyper NEAT model of developmental neural network design, and a simulation of the visual cortex. Other contributions cover recent advances in the design of bio-inspired artificial neural networks, including the creation of machines for classification, the behavioural control of virtual agents, the design of virtual multi-component robots and morphologies and the creation of flexible intelligence. Throughout, the contributors share their vast expertise on the means and benefits of creating brain-like machines.This book is appropriate for advanced students and practitioners of artificial intelligence and machine learning.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.
Lingua: Inglese
Editore: Springer, Springer Sep 2016, 2016
Serie: Libro 85 di 538 - Studies in Computational Intelligence
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 106,99
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and productive new technologies. In terms of generating intelligence, however, this pursuit has yield…ed only limited success. This book explores the hypothesis that adaptive growth is a means of moving forward. By emulating the biological process of development, we can incorporate desirable characteristics of natural neural systems into engineered designs and thus move closer towards the creation of brain-like systems. The particular focus is on how to design artificial neural networks for engineering tasks.The book consists of contributions from 18 researchers, ranging from detailed reviews of recent domains by senior scientists, to exciting new contributions representing the state of the art in machine learning research. The book begins with broad overviews of artificial neurogenesis and bio-inspired machine learning, suitable both as an introduction to the domains and as a reference for experts. Several contributions provide perspectives and future hypotheses on recent highly successful trains of research, including deep learning, the Hyper NEAT model of developmental neural network design, and a simulation of the visual cortex. Other contributions cover recent advances in the design of bio-inspired artificial neural networks, including the creation of machines for classification, the behavioural control of virtual agents, the design of virtual multi-component robots and morphologies and the creation of flexible intelligence. Throughout, the contributors share their vast expertise on the means and benefits of creating brain-like machines.This book is appropriate for advanced students and practitioners of artificial intelligence and machine learning.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.
