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| 008 | 221015s2022 sz | s |1|| 0|eng d | ||
| 020 | _a9783031082238 | ||
| 024 | 7 |
_a10.1007/978-3-031-08223-8 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.9.D343 _b2022 EB |
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| 245 | 0 | 0 |
_aEngineering Applications of Neural Networks : _b23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022, Proceedings _cedited by Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, Elias Pimenidis |
| 250 | _aFirst edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publising _c2022 |
|
| 300 |
_a1 recurso en línea (XXIX, 530 páginas) _b193 ilustraciones, 143 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aCommunications in Computer and Information Science _x1865-0937 _v1600 |
|
| 505 | 0 | _aBio inspired Modeling / Novel Neural Architectures -- Classification / Clustering - Machine Learning -- Convolutional / Deep Learning -- Datamining / Learning / Autoencoders -- Deep Learning / Blockchain -- Machine Learning for Medical Images / Genome Classification -- Reinforcement /Adversarial / Echo State Neural Networks -- Robotics / Autonomous Vehicles, Photonic Neural Networks -- Text Classification / Natural Language. | |
| 520 | _aThis book constitutes the refereed proceedings of the 23rd International Conference on Engineering Applications of Neural Networks, EANN 2022, held in Chersonisos, Crete, Greece, in June 2022. The 37 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on Bio inspired Modeling / Novel Neural Architectures; Classification / Clustering; Machine Learning; Convolutional / Deep Learning; Datamining / Learning / Autoencoders; Deep Learning / Blockchain; Machine Learning for Medical Images / Genome Classification; Reinforcement /Adversarial / Echo State Neural Networks; Robotics / Autonomous Vehicles, Photonic Neural Networks; Text Classification / Natural Language. | ||
| 988 | _aSpringer_Computer_2022 | ||
| 650 | 7 |
_2embne _9162648 _aData mining _vCongresos y asambleas |
|
| 650 | 7 |
_2embne _9678664 _aRedes neuronales artificiales _vCongresos y asambleas |
|
| 700 | 1 |
_aIliadis, Lazaros _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aJayne, Chrisina _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aTefas, Anastasios _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aPimenidis, Elias _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783031082221 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031082245 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-08223-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b10/2022 _dz _eIG _zSI |
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