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Edité par Springer, 2012
ISBN 10 : 1461268826ISBN 13 : 9781461268826
Vendeur : booksXpress, Bayonne, NJ, Etats-Unis
Livre
Soft Cover. Etat : new.
Edité par Springer, 2012
ISBN 10 : 1461268826ISBN 13 : 9781461268826
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
Livre
Etat : New.
Edité par Springer, 2012
ISBN 10 : 1461268826ISBN 13 : 9781461268826
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Livre impression à la demande
Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Edité par Springer New York Sep 2012, 2012
ISBN 10 : 1461268826ISBN 13 : 9781461268826
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Livre impression à la demande
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One of the most challenging and fascinating problems of the theory of neural nets is that of asymptotic behavior, of how a system behaves as time proceeds. This is of particular relevance to many practical applications. Here we focus on association, generalization, and representation. We turn to the last topic first. The introductory chapter, 'Global Analysis of Recurrent Neural Net works,' by Andreas Herz presents an in-depth analysis of how to construct a Lyapunov function for various types of dynamics and neural coding. It includes a review of the recent work with John Hopfield on integrate-and fire neurons with local interactions. The chapter, 'Receptive Fields and Maps in the Visual Cortex: Models of Ocular Dominance and Orientation Columns' by Ken Miller, explains how the primary visual cortex may asymptotically gain its specific structure through a self-organization process based on Hebbian learning. His argu ment since has been shown to be rather susceptible to generalization. 328 pp. Englisch.
Edité par Springer New York, 2012
ISBN 10 : 1461268826ISBN 13 : 9781461268826
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Livre
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - One of the most challenging and fascinating problems of the theory of neural nets is that of asymptotic behavior, of how a system behaves as time proceeds. This is of particular relevance to many practical applications. Here we focus on association, generalization, and representation. We turn to the last topic first. The introductory chapter, 'Global Analysis of Recurrent Neural Net works,' by Andreas Herz presents an in-depth analysis of how to construct a Lyapunov function for various types of dynamics and neural coding. It includes a review of the recent work with John Hopfield on integrate-and fire neurons with local interactions. The chapter, 'Receptive Fields and Maps in the Visual Cortex: Models of Ocular Dominance and Orientation Columns' by Ken Miller, explains how the primary visual cortex may asymptotically gain its specific structure through a self-organization process based on Hebbian learning. His argu ment since has been shown to be rather susceptible to generalization.
Edité par Springer-Verlag New York Inc., 2012
ISBN 10 : 1461268826ISBN 13 : 9781461268826
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
Livre impression à la demande
Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Edité par Springer, 2012
ISBN 10 : 1461268826ISBN 13 : 9781461268826
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Livre
Paperback. Etat : Like New. Like New. book.