Articles liés à Multidisciplinary Approaches to Neural Computing
Synopsis
Provides fundamental insights for cross-fertilization: machine learning, artificial neural networks (ANNs) (algorithms and models), social and biometric data for applications in human-computer interactions, and neural networks-based approaches to industrial processes
Identifies features from dynamic realistic signal exchanges and invariant machine representations to automatically identify, detect, analyze, and process them in related applications
Simplifies automatic signal processing and its exploitation in realistic applications devoted to improving the quality of life of the end users
Features contributions from computer science, physics, psychology, statistics, mathematics, electrical engineering, and communication science
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Multidisciplinary Approaches to Neural Computing.
Edité par
Cham, Springer., 2018
ISBN 10 : 3319569031
ISBN 13 : 9783319569031
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Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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xv, 388 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. N° de réf. du vendeur 814LB
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Multidisciplinary Approaches to Neural Computing
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Springer International Publishing, 2017
ISBN 10 : 3319569031
ISBN 13 : 9783319569031
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Vendeur : moluna, Greven, Allemagne
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Gebunden. Etat : New. N° de réf. du vendeur 147410697
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Multidisciplinary Approaches to Neural Computing
Edité par
Springer International Publishing, 2017
ISBN 10 : 3319569031
ISBN 13 : 9783319569031
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs). The themes addressed are multidisciplinary in nature, and closely connected in their ultimate aim to identify features from dynamic realistic signal exchanges and invariant machine representations that can be exploited to improve the quality of life of their end users.Mathematical tools like ANNs are currently exploited in many scientific domains because of their solid theoretical background and effectiveness in providing solutions to many demanding tasks such as appropriately processing (both for extracting features and recognizing) mono- and bi-dimensional dynamic signals, solving strong nonlinearities in the data and providing general solutions for deep and fully connected architectures. Given the multidisciplinary nature of their use and the interdisciplinary characterization of the problems they are applied to - which range from medicine to psychology, industrial and social robotics, computer vision, and signal processing (among many others) - ANNs may provide a basis for redefining the concept of information processing. These reflections are supported by theoretical models and applications presented in the chapters of this book.This book is of primary importance for: (a) the academic research community, (b) the ICT market, (c) PhD students and early-stage researchers, (d) schools, hospitals, rehabilitation and assisted-living centers, and (e) representatives of multimedia industries and standardization bodies. N° de réf. du vendeur 9783319569031
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Multidisciplinary Approaches to Neural Computing
Edité par
Springer International Publishing Sep 2017, 2017
ISBN 10 : 3319569031
ISBN 13 : 9783319569031
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs). The themes addressed are multidisciplinary in nature, and closely connected in their ultimate aim to identify features from dynamic realistic signal exchanges and invariant machine representations that can be exploited to improve the quality of life of their end users.Mathematical tools like ANNs are currently exploited in many scientific domains because of their solid theoretical background and effectiveness in providing solutions to many demanding tasks such as appropriately processing (both for extracting features and recognizing) mono- and bi-dimensional dynamic signals, solving strong nonlinearities in the data and providing general solutions for deep and fully connected architectures. Given the multidisciplinary nature of their use and the interdisciplinary characterization of the problems they are applied to - which range from medicine to psychology, industrial and social robotics, computer vision, and signal processing (among many others) - ANNs may provide a basis for redefining the concept of information processing. These reflections are supported by theoretical models and applications presented in the chapters of this book.This book is of primary importance for: (a) the academic research community, (b) the ICT market, (c) PhD students and early-stage researchers, (d) schools, hospitals, rehabilitation and assisted-living centers, and (e) representatives of multimedia industries and standardization bodies. 404 pp. Englisch. N° de réf. du vendeur 9783319569031
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Multidisciplinary Approaches to Neural Computing (Smart Innovation, Systems and Technologies, 69)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Multidisciplinary Approaches to Neural Computing
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Multidisciplinary Approaches to Neural Computing
ISBN 10 : 3319569031
ISBN 13 : 9783319569031
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. Neuware -This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs). The themes addressedare multidisciplinary in nature, and closely connected in their ultimate aim to identify features from dynamic realistic signal exchanges and invariant machine representations that can be exploited toimprove the quality of life of their end users.Mathematical tools like ANNs are currently exploited in many scientific domains because of their solid theoretical background and effectiveness in providing solutions to many demanding tasks such as appropriately processing (both for extracting features and recognizing) mono- and bi-dimensional dynamic signals, solving strong nonlinearities in the data and providing general solutions for deep and fully connected architectures. Given the multidisciplinary nature of their use and the interdisciplinary characterization of the problems they are applied to ¿ which range from medicine to psychology, industrial and social robotics, computer vision, and signal processing (among many others) ¿ ANNs may provide a basis for redefining the concept of information processing. These reflections are supported by theoretical models and applications presented in the chapters of this book.This book is of primary importance for: (a) the academic research community, (b) the ICT market, (c) PhD students and early-stage researchers, (d) schools, hospitals, rehabilitation and assisted-living centers, and (e) representatives of multimedia industries and standardization bodies.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 404 pp. Englisch. N° de réf. du vendeur 9783319569031
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Multidisciplinary Approaches to Neural Computing
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Multidisciplinary Approaches to Neural Computing (Smart Innovation, Systems and Technologies)
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. N° de réf. du vendeur 26375266412
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Multidisciplinary Approaches to Neural Computing
Edité par
Springer, 2017
ISBN 10 : 3319569031
ISBN 13 : 9783319569031
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 29200346
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