Advances in Neural Computation, Machine Learning, and Cognitive Research II
Produktnummer:
18529caa69952b4c1c843ecacee234fba9
| Themengebiete: | Additive noise Applications of adaptive neural networks Boolean neural network Context dependent recognition Deep neural networks Digital neural-network control system Modeling inverse problems Multilayer neural networks Synchronous information environment Traffic control methods |
|---|---|
| Veröffentlichungsdatum: | 07.10.2018 |
| EAN: | 9783030013271 |
| Sprache: | Englisch |
| Seitenzahl: | 344 |
| Produktart: | Gebunden |
| Herausgeber: | Dunin-Barkowski, Witali Kryzhanovsky, Boris Redko, Vladimir Tiumentsev, Yury |
| Verlag: | Springer International Publishing |
| Untertitel: | Selected Papers from the XX International Conference on Neuroinformatics, October 8-12, 2018, Moscow, Russia |
Produktinformationen "Advances in Neural Computation, Machine Learning, and Cognitive Research II"
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.
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