Multidisciplinary Approaches to Neural Computing - Couverture rigide

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9783319569031: Multidisciplinary Approaches to Neural Computing

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ISBN 10 : 3319569031 ISBN 13 : 9783319569031

Editeur : Springer International Publishing AG, 2017

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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

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer International Publishing AG
Date d'�dition: 2017
Langue: anglais
ISBN 10: 3319569031
ISBN 13: 9783319569031
Reliure: Reli�
Num�ro d'�dition: 1
Nombre de pages: 388
�diteur: Esposito Anna, Faudez-Zanuy Marcos, Morabito Francesco Carlo, Pasero Eros
Coordonn�es du fabricant: non disponible
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Multidisciplinary Approaches to Neural Computing.

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ISBN 10 : 3319569031 ISBN 13 : 9783319569031

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Multidisciplinary Approaches to Neural Computing

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Multidisciplinary Approaches to Neural Computing

Esposito, Anna (EDT); Faudez-zanuy, Marcos (EDT); Morabito, Francesco Carlo (EDT); Pasero, Eros (EDT)

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Multidisciplinary Approaches to Neural Computing

Esposito, Anna (EDT); Faudez-zanuy, Marcos (EDT); Morabito, Francesco Carlo (EDT); Pasero, Eros (EDT)

Edit� par Springer, 2017

ISBN 10 : 3319569031 ISBN 13 : 9783319569031

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Multidisciplinary Approaches to Neural Computing

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Multidisciplinary Approaches to Neural Computing

Anna Esposito

Edit� par Springer International Publishing Sep 2017, 2017

ISBN 10 : 3319569031 ISBN 13 : 9783319569031

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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 r�f. du vendeur 9783319569031

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Multidisciplinary Approaches to Neural Computing

Esposito, Anna (EDT); Faudez-zanuy, Marcos (EDT); Morabito, Francesco Carlo (EDT); Pasero, Eros (EDT)

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Multidisciplinary Approaches to Neural Computing (Smart Innovation, Systems and Technologies)

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ISBN 10 : 3319569031 ISBN 13 : 9783319569031

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Multidisciplinary Approaches to Neural Computing (Hardcover)

Anna Esposito

Edit� par Springer International Publishing AG, Cham, 2017

ISBN 10 : 3319569031 ISBN 13 : 9783319569031

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Hardcover. Etat : new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9783319569031

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Multidisciplinary Approaches to Neural Computing (Smart Innovation, Systems and Technologies)

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ISBN 10 : 3319569031 ISBN 13 : 9783319569031

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