£135.92

Springer Neural Computation and Machine Learning Research Book

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Description

Explore the latest developments in artificial intelligence and cognitive science with this comprehensive collection from Springer. This volume presents selected and invited papers from the XX International Conference on Neuroinformatics held in Moscow, Russia. It serves as a vital resource for researchers and professionals studying the intersection of neural networks and biological systems. The text covers a broad spectrum of modern technologies, ranging from deep neural networks and large-scale neural models to brain-computer interfaces. Readers will find detailed research on signal processing methods, models of perception, and emotion recognition. By bridging the gap between neuroscience, biology, biophysics, and cognitive research, this book offers a deep look into the methods driving current advancements in the field of computational intelligence.

Key Features

Comprehensive research coverage including deep neural networks and large-scale neural models for advanced computational studies.

Multidisciplinary approach connecting artificial neural networks with neuroscience, biology, and biophysics.

In-depth analysis of cognitive research topics such as emotion recognition and models of perception.

Technical insights into brain-computer interfaces and modern signal processing methods.

Academic collection featuring selected and invited papers from the XX International Conference on Neuroinformatics.

Exploration of self-organization and various new theories in artificial neural networks.

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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