Simone Bassis & Anna Esposito 
Advances in Neural Networks: Computational and Theoretical Issues [PDF ebook] 

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This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include theoretical, methodological and computational topics which are grouped together into chapters devoted to the discussion of novelties and innovations related to the field of Artificial Neural Networks as well as the use of neural networks for applications, pattern recognition, signal processing, and special topics such as the detection and recognition of multimodal emotional expressions and daily cognitive functions, and  bio-inspired memristor-based networks.


Providing insights into the latest research interest from a pool of international experts coming from different research fields, the volume becomes valuable to all those with any interest in a holistic approach to implement believable, autonomous, adaptive and context-aware Information Communication Technologies.

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Table des matières

Invited Keynote Papers.- Proceedings Papers.

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Langue Anglais ● Format PDF ● Pages 402 ● ISBN 9783319181646 ● Taille du fichier 30.2 MB ● Éditeur Simone Bassis & Anna Esposito ● Maison d’édition Springer International Publishing ● Lieu Cham ● Pays CH ● Publié 2015 ● Téléchargeable 24 mois ● Devise EUR ● ID 4298601 ● Protection contre la copie DRM sociale

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