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Advances in Neural Networks: Computational and Theoretical Issues

Advances in Neural Networks: Computational and Theoretical Issues - Smart Innovation, Systems and Technologies

Softcover reprint of the original 1st Edition 2015

Paperback (17 Oct 2016)

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Publisher's Synopsis

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.

Book information

ISBN: 9783319383347
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Edition: Softcover reprint of the original 1st Edition 2015
Language: English
Number of pages: 402
Weight: 6263g
Height: 235mm
Width: 155mm
Spine width: 22mm