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Advances in Neural Networks: Computational and Theoretical Issues

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Advances in Neural Networks: Computational and Theoretical Issues
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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.
Release date Australia
October 17th, 2016
Contributors
Edited by Anna Esposito Edited by Francesco Carlo Morabito Edited by Simone Bassis
Pages
402
Edition
Softcover reprint of the original 1st ed. 2015
Illustrations
89 Illustrations, color; 59 Illustrations, black and white; X, 402 p. 148 illus., 89 illus. in color.
Country of Publication
Switzerland
Imprint
Springer International Publishing AG
Dimensions
155x235x22
ISBN-13
9783319383347
Product ID
26207341

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