Advances in Neural Networks: Computational and Theoretical Issues (Paperback, Softcover reprint of the original 1st ed. 2015)

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:	October 2016
First published:	2015
Editors:	Simone Bassis • Anna Esposito • Francesco Carlo Morabito
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Paperback
Pages:	402
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-319-38334-7
Categories:	Books > Computing & IT > General
LSN:	3-319-38334-5
Barcode:	9783319383347

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!