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220104 ||| eng |
| 020 |
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|a 9783030915810
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| 100 |
1 |
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|a Kryzhanovsky, Boris
|e [editor]
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| 245 |
0 |
0 |
|a Advances in Neural Computation, Machine Learning, and Cognitive Research V
|h Elektronische Ressource
|b Selected Papers from the XXIII International Conference on Neuroinformatics, October 18-22, 2021, Moscow, Russia
|c edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin V. Klimov
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| 250 |
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|a 1st ed. 2022
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2022, 2022
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| 300 |
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|a XV, 360 p. 145 illus., 70 illus. in color
|b online resource
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| 653 |
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|a Machine learning
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| 653 |
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|a Machine Learning
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| 653 |
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|a Computational intelligence
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| 653 |
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|a Control and Systems Theory
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| 653 |
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|a Computational Intelligence
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| 653 |
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|a Control engineering
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| 653 |
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|a Bioinspired Technologies
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| 653 |
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|a Bionics
|
| 700 |
1 |
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|a Dunin-Barkowski, Witali
|e [editor]
|
| 700 |
1 |
|
|a Redko, Vladimir
|e [editor]
|
| 700 |
1 |
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|a Tiumentsev, Yury
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Studies in Computational Intelligence
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| 028 |
5 |
0 |
|a 10.1007/978-3-030-91581-0
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-91581-0?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 006.3
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| 520 |
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|a 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 XXIII International Conference on Neuroinformatics, held on October 18-22, 2021, Moscow, Russia
|