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Record Nr. |
UNINA9911047801103321 |
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Autore |
Kryzhanovsky Boris |
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Titolo |
Advances in Neural Computation, Machine Learning, and Cognitive Research IX : Selected Papers from the XXVII International Conference on Neuroinformatics, October 20-24, 2025, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin V. Klimov |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (1008 pages) |
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Collana |
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Studies in Computational Intelligence, , 1860-9503 ; ; 1241 |
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Altri autori (Persone) |
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Dunin-BarkowskiWitali |
RedkoVladimir |
TiumentsevYury |
KlimovValentin V |
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Disciplina |
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Soggetti |
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Computational intelligence |
Machine learning |
Neural networks (Computer science) |
Computational Intelligence |
Machine Learning |
Mathematical Models of Cognitive Processes and Neural Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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-- Signal Processing by a Reservoir Network on Memristors -- Spiffy: Efficient Implementation of CoLaNET for Raspberry Pi -- Analysis of Variational Quantum Classifiers for Binary Classification using Quantum Simulators, etc. |
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Sommario/riassunto |
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This book describes new theories and applications of artificial neural networks, with a special focus on answering questions 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 |
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invited papers presented at the XXVII International Conference on Neuroinformatics, held on October 20–24, 2025, in Moscow, Russia. |
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