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| Autore: |
Kryzhanovsky Boris
|
| 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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| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Edizione: | 1st ed. 2026. |
| Descrizione fisica: | 1 online resource (1008 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | Computational intelligence |
| Machine learning | |
| Neural networks (Computer science) | |
| Computational Intelligence | |
| Machine Learning | |
| Mathematical Models of Cognitive Processes and Neural Networks | |
| Altri autori: |
Dunin-BarkowskiWitali
RedkoVladimir
TiumentsevYury
KlimovValentin V
|
| Nota di contenuto: | -- 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. |
| Sommario/riassunto: | 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 invited papers presented at the XXVII International Conference on Neuroinformatics, held on October 20–24, 2025, in Moscow, Russia. |
| Titolo autorizzato: | Advances in Neural Computation, Machine Learning, and Cognitive Research IX ![]() |
| ISBN: | 3-032-07690-0 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911047801103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |