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100   $a20201001d2021      u|         0
101 0 $aeng
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181   $ctxt$2rdacontent
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200 10$aAdvances in Neural Computation, Machine Learning, and Cognitive Research IV $eSelected Papers from the XXII International Conference on Neuroinformatics, October 12-16, 2020, Moscow, Russia /$fedited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
205   $a1st ed. 2021.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021.
215   $a1 online resource (XVI, 441 p. 169 illus., 101 illus. in color.) 
225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v925
311   $a3-030-60576-0 
330   $aThis book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia. .
410  0$aStudies in Computational Intelligence,$x1860-9503 ;$v925
606   $aComputational intelligence
606   $aMachine learning
606   $aControl engineering
606   $aBionics
606   $aComputational Intelligence
606   $aMachine Learning
606   $aControl and Systems Theory
606   $aBioinspired Technologies
615  0$aComputational intelligence.
615  0$aMachine learning.
615  0$aControl engineering.
615  0$aBionics.
615 14$aComputational Intelligence.
615 24$aMachine Learning.
615 24$aControl and Systems Theory.
615 24$aBioinspired Technologies.
676   $a006.32
700   $aKryzhanovsky$b Boris$01081580
801  0$bMiAaPQ
801  1$bMiAaPQ
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906   $aBOOK
912   $a9910483669703321
996   $aAdvances in neural computation, machine learning, and cognitive research IV$92855540
997   $aUNINA