Advances in Neural Networks: Computational and Theoretical Issues

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Éditeur :

Springer


Collection :

Smart Innovation, Systems and Technologies

Paru le : 2015-06-05

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Description

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.
Pages
402 pages
Collection
Smart Innovation, Systems and Technologies
Parution
2015-06-05
Marque
Springer
EAN papier
9783319181639
EAN PDF
9783319181646

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
29696 Ko
Prix
94,94 €