Advances in Neural Computation, Machine Learning, and Cognitive Research II
Selected Papers from the XX International Conference on Neuroinformatics, October 8-12, 2018, Moscow, Russia
(Sprache: Englisch)
This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep...
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This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain-computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XX International Conference on Neuroinformatics, held in Moscow, Russia on October 8-12, 2018.
Bibliographische Angaben
- 2019, Softcover reprint of the original 1st ed. 2019, XVII, 344 Seiten, Masse: 15,4 x 23,7 cm, Kartoniert (TB), Englisch
- Herausgegeben: Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
- Verlag: Springer, Berlin
- ISBN-10: 303013170X
- ISBN-13: 9783030131708
Sprache:
Englisch
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