Articles liés à Proceedings of Elm 2021: Theory, Algorithms and Applications

Proceedings of Elm 2021: Theory, Algorithms and Applications - Couverture rigide

 
9783031216770: Proceedings of Elm 2021: Theory, Algorithms and Applications

Synopsis

This book contains papers from the International Conference on Extreme Learning Machine 2021, which was held in virtual on December 15-16, 2021. Extreme learning machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles' filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc.) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that "random hidden neurons" capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers.

This conference provides a forum for academics, researchers, and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning.

This book covers theories, algorithms, and applications of ELM. It gives readers a glance of the most recent advances of ELM.


Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Acheter neuf

Afficher cet article
EUR 197,62

Autre devise

EUR 9,70 expédition depuis Allemagne vers France

Destinations, frais et délais

Autres éditions populaires du même titre

9783031216800: Proceedings of ELM 2021: Theory, Algorithms and Applications

Edition présentée

ISBN 10 :  3031216806 ISBN 13 :  9783031216800
Editeur : Springer, 2024
Couverture souple

Résultats de recherche pour Proceedings of Elm 2021: Theory, Algorithms and Applications

Image fournie par le vendeur

ISBN 10 : 3031216776 ISBN 13 : 9783031216770
Neuf Couverture rigide
impression à la demande

Vendeur : moluna, Greven, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides recent research on Extreme Learning Machines (ELM)Contains selected papers from the 11th International Conference on Extreme Learning Machines 2022Presents theory, algorithms, and applications of ELMThis book contains pa. N° de réf. du vendeur 738837178

Contacter le vendeur

Acheter neuf

EUR 197,62
Autre devise
Frais de port : EUR 9,70
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Edité par Springer, 2023
ISBN 10 : 3031216776 ISBN 13 : 9783031216770
Neuf Couverture rigide

Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. In. N° de réf. du vendeur ria9783031216770_new

Contacter le vendeur

Acheter neuf

EUR 233,75
Autre devise
Frais de port : EUR 4,74
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Kaj-Mikael Bj?rk
ISBN 10 : 3031216776 ISBN 13 : 9783031216770
Neuf Couverture rigide

Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni

Évaluation du vendeur 4 sur 5 étoiles Evaluation 4 étoiles, En savoir plus sur les évaluations des vendeurs

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur S0-9783031216770

Contacter le vendeur

Acheter neuf

EUR 233,65
Autre devise
Frais de port : EUR 5,06
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : 15 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Kaj-Mikael Björk
ISBN 10 : 3031216776 ISBN 13 : 9783031216770
Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains papers from the International Conference on Extreme Learning Machine 2021, which was held in virtual on December 15-16, 2021. Extreme learning machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles' filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc.) as long as they are nonlinear piecewise continuous, independent of training dataand application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that 'random hidden neurons' capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. This conference provides a forum for academics, researchers, and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. This book covers theories, algorithms, and applications of ELM. It gives readers a glance of the most recent advances of ELM. N° de réf. du vendeur 9783031216770

Contacter le vendeur

Acheter neuf

EUR 235,39
Autre devise
Frais de port : EUR 10,99
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Kaj-Mikael Björk
ISBN 10 : 3031216776 ISBN 13 : 9783031216770
Neuf Couverture rigide
impression à la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contains papers from the International Conference on Extreme Learning Machine 2021, which was held in virtual on December 15-16, 2021. Extreme learning machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles' filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc.) as long as they are nonlinear piecewise continuous, independent of training dataand application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that 'random hidden neurons' capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. This conference provides a forum for academics, researchers, and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. This book covers theories, algorithms, and applications of ELM. It gives readers a glance of the most recent advances of ELM. 180 pp. Englisch. N° de réf. du vendeur 9783031216770

Contacter le vendeur

Acheter neuf

EUR 235,39
Autre devise
Frais de port : EUR 11
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Kaj-Mikael Björk
ISBN 10 : 3031216776 ISBN 13 : 9783031216770
Neuf Couverture rigide

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Buch. Etat : Neu. Neuware -This book contains papers from the International Conference on Extreme Learning Machine 2021, which was held in virtual on December 15¿16, 2021. Extreme learning machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles¿ filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc.) as long as they are nonlinear piecewise continuous, independent of training dataand application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that ¿random hidden neurons¿ capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers.This conference provides a forum for academics, researchers, and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning.This book covers theories, algorithms, and applications of ELM. It gives readers a glance of the most recent advances of ELM.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch. N° de réf. du vendeur 9783031216770

Contacter le vendeur

Acheter neuf

EUR 235,39
Autre devise
Frais de port : EUR 15
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : 2 disponible(s)

Ajouter au panier

Image d'archives

Björk, Kaj-Mikael (Edited by)
Edité par Springer, 2023
ISBN 10 : 3031216776 ISBN 13 : 9783031216770
Neuf Couverture rigide
impression à la demande

Vendeur : Revaluation Books, Exeter, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Hardcover. Etat : Brand New. 180 pages. 9.25x6.10x0.44 inches. In Stock. This item is printed on demand. N° de réf. du vendeur __3031216776

Contacter le vendeur

Acheter neuf

EUR 244,46
Autre devise
Frais de port : EUR 11,87
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : 2 disponible(s)

Ajouter au panier

Image d'archives

Edité par Springer, 2023
ISBN 10 : 3031216776 ISBN 13 : 9783031216770
Neuf Couverture rigide

Vendeur : Books Puddle, New York, NY, Etats-Unis

Évaluation du vendeur 4 sur 5 étoiles Evaluation 4 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. 1st ed. 2023 edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26396295214

Contacter le vendeur

Acheter neuf

EUR 296,79
Autre devise
Frais de port : EUR 7,89
De Etats-Unis vers France
Destinations, frais et délais

Quantité disponible : 4 disponible(s)

Ajouter au panier

Image d'archives

Edité par Springer, 2023
ISBN 10 : 3031216776 ISBN 13 : 9783031216770
Neuf Couverture rigide
impression à la demande

Vendeur : Majestic Books, Hounslow, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. Print on Demand. N° de réf. du vendeur 401163249

Contacter le vendeur

Acheter neuf

EUR 307,42
Autre devise
Frais de port : EUR 10,50
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : 4 disponible(s)

Ajouter au panier

Image d'archives

Edité par Springer, 2023
ISBN 10 : 3031216776 ISBN 13 : 9783031216770
Neuf Couverture rigide
impression à la demande

Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18396295204

Contacter le vendeur

Acheter neuf

EUR 315,54
Autre devise
Frais de port : EUR 7,95
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : 4 disponible(s)

Ajouter au panier

There are 1 autres exemplaires de ce livre sont disponibles

Afficher tous les résultats pour ce livre