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| 988 | _aSpringer_Robotics_2020 | ||
| 999 |
_c115366 _d115366 _x1 |
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| 001 | 115366 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230104140018.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 190903s2020 gw a o |||| 0|eng d | ||
| 020 | _a9783030304256 | ||
| 024 | 7 |
_a10.1007/978-3-030-30425-6 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.87 _b2020 EB |
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| 245 | 0 | 0 |
_aAdvances in Neural Computation, Machine Learning, and Cognitive Research III : _bSelected Papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia _cedited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev |
| 250 | _aFirst edition | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2020 |
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| 300 |
_a1 recurso en línea (XVII, 428 páginas) _b210 ilustraciones, 120 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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| 490 | 0 |
_aStudies in Computational Intelligence _x1860-949X _v856 |
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| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 505 | 0 | _aPreface -- Part I: Invited Papers -- Chapter 1. Deep Learning a Single Photo Voxel Model Prediction from Real and Synthetic Images -- Chapter 2. Tensor Train Neural Networks in Retail Operations -- Chapter 3. Semi-Empirical Neural Network Based Modeling and Identification of Controlled Dynamical Systems, etc. | |
| 520 | 3 | _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 XXI International Conference on Neuroinformatics, held on October 7-11, 2019, in Dolgoprudny, a town in Moscow region, Russia. | |
| 650 | 7 |
_2embne _aRedes de neuronas artificiales _xCongresos y asambleas |
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| 650 | 7 |
_2embne _aAprendizaje automático _xCongresos y asambleas |
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| 650 | 7 |
_2embne _aCiencia cognitiva _xCongresos y asambleas |
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| 700 | 1 |
_aKryzhanovsky, Boris _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aDunin-Barkowski, Witali _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aRedko, Vladimir _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aTiumentsev, Yury _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783030304249 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030304263 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030304270 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-30425-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI |
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