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020 _a9783030915810
024 7 _a10.1007/978-3-030-91581-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.87
_b2022 EB
245 1 0 _aAdvances in Neural Computation, Machine Learning, and Cognitive Research V :
_bSelected Papers from the XXIII International Conference on Neuroinformatics, October 18-22, 2021, Moscow, Russia
_cedited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin V. Klimov
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XV, 360 páginas)
_b145 ilustraciones, 70 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aStudies in Computational Intelligence
_x1860-9503
_v1008
520 _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 XXIII International Conference on Neuroinformatics, held on October 18-22, 2021, Moscow, Russia.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9678664
_aRedes neuronales artificiales
_vCongresos y asmbleas
650 7 _2embne
_9166090
_aAprendizaje automático
_vCongresos y asmbleas
776 0 8 _iPrinted edition:
_z9783030915803
776 0 8 _iPrinted edition:
_z9783030915827
776 0 8 _iPrinted edition:
_z9783030915834
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-91581-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b01/2023
_dz
_eIG
_zSI