Advances in Neural Networks: Computational and Theoretical Issues (Hardcover, 2015 ed.)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Smart Innovation, Systems and Technologies, 37
Release date:	June 2015
First published:	2015
Editors:	Simone Bassis • Anna Esposito • Francesco Carlo Morabito
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Hardcover
Pages:	402
Edition:	2015 ed.
ISBN-13:	978-3-319-18163-9
Categories:	Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-18163-7
Barcode:	9783319181639

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