Advances in Neural Networks: Computational and Theoretical Issues

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 innov...

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Corporate Author: SpringerLink (Online service)
Other Authors: Bassis, Simone. (Editor, http://id.loc.gov/vocabulary/relators/edt), Esposito, Anna. (Editor, http://id.loc.gov/vocabulary/relators/edt), Morabito, Francesco Carlo. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Smart Innovation, Systems and Technologies, 37
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-18164-6
Summary: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.
Physical Description:X, 402 p. 148 illus., 59 illus. in color. online resource.
ISBN:9783319181646
ISSN:2190-3018 ;