£141.86

Springer Advances in Neural Computation & Machine Learning II - Springer

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Description

This comprehensive volume presents cutting-edge research on artificial neural networks and cognitive science from the XX International Conference on Neuroinformatics held in Moscow. The collection features both selected and invited papers exploring deep neural networks, large-scale neural models, brain-computer interfaces, and signal processing methods applied to neuroscience and biophysics. Readers will discover advances in perception models, emotion recognition systems, self-organization frameworks, and practical applications addressing real-world problems in cognitive research. Published by Springer as part of the Studies in Computational Intelligence series (volume 799), this book bridges theoretical innovation with applied research across machine learning and neuroinformatics, making it essential for researchers, academics, and professionals working at the intersection of artificial intelligence and biological sciences.

Key Features

Covers deep neural networks and large-scale neural models with applications in neuroscience and biological research.

Includes brain-computer interface technologies and advanced signal processing methods for cognitive applications.

Features peer-reviewed papers from the XX International Conference on Neuroinformatics held in Moscow.

Explores perception models, emotion recognition systems, and self-organization mechanisms in computational intelligence.

Part of Springer's Studies in Computational Intelligence series (volume 799) for academic reference.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
07 October 2018
Listed Since
21 August 2018

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No barcode data available

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