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£114 today · previous high £114 · all-time low £109

Springer Advances in Neural Computation & Machine Learning - Springer

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Description

This comprehensive volume explores cutting-edge theories and practical applications of artificial neural networks, with particular emphasis on solving complex problems in neuroscience, biology, biophysics and cognitive research. The collection brings together selected and invited papers from the XXI International Conference on Neuroinformatics, presenting the latest breakthroughs across deep neural networks, large-scale neural models, brain-computer interfaces, advanced signal processing methods, perception models, emotion recognition systems, and self-organization techniques. Published by Springer as part of the Studies in Computational Intelligence series (Volume 856), this book serves as an essential resource for researchers, academics and practitioners seeking to understand current advances in neural computation and machine learning applications across scientific disciplines.

Key Features

Covers artificial neural networks with applications in neuroscience, biology, biophysics and cognitive research domains.

Features papers on deep neural networks and large-scale neural models from leading researchers and conference presenters.

Includes brain-computer interface technology, signal processing methods and perception models for advancing human-computer interaction.

Explores emotion recognition systems and self-organization techniques within neural computation frameworks.

Published by Springer as Volume 856 in the Studies in Computational Intelligence series for academic credibility.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 September 2019
Listed Since
01 August 2019

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