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| 988 | _aSpringer_Robotics_2020 | ||
| 999 |
_c116994 _d116994 _x1 |
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| 003 | ES-MaUEC | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 190710s2020 si | s |||| 0|eng d | ||
| 020 | _a9789811382222 | ||
| 024 | 7 |
_a10.1007/978-981-13-8222-2 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQ342 _b2020 EB |
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| 245 | 0 | 0 |
_aAdvances in Computational Intelligence : _bProceedings of Second International Conference on Computational Intelligence 2018 _cedited by Sudip Kumar Sahana, Vandana Bhattacharjee |
| 250 | _aFirst edition | ||
| 264 | 1 |
_aSingapore _bSpringer Singapore _c2020 |
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| 300 |
_a1 recurso en línea (XIII, 368 páginas) _b177 ilustraciones, 102 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 | 1 |
_aAdvances in Intelligent Systems and Computing _x2194-5357 _v988 |
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| 490 | 0 | _aTechnologies and Robotics (Springer-42732) | |
| 505 | 0 | _aAn Adaptive Neuro- Fuzzy Inference System based Intelligent Grid Connected Photovoltaic Power Generation -- Efficient Energy Management in Hybrid Electric Vehicles using DRBF Networks -- Torque & Current Noise Reduction of BLDC Motor using Fuzzy Logic Control Strategy -- Bi-objective Optimization of a Reconfigurable Supply Chain using a Self-Organizing Migration Algorithm -- Infected area segmentation and severity estimation of grapevine using Fuzzy logic -- Image Encryption using Modified Rubik's Cube Algorithm -- Decision Support System for Business Intelligence Using Data-Mining Techniques: A Case study -- Target Marketing Using Feedback Mining. | |
| 520 | 3 | _aThis book presents the proceedings of the International Conference on Computational Intelligence 2018 (ICCI 2018). It brings together work by leading scientists, researchers and research scholars from around the globe on all aspects of computational intelligence. The work is mainly composed of the original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of computational intelligence. Specifically, the major topics covered include classical computational intelligence models and artificial intelligence, neural networks and deep learning, evolutionary swarm and particle algorithms, hybrid systems optimization, constraint programming, human-machine interaction, computational intelligence for web analytics, robotics, computational neurosciences, neurodynamics, bioinspired and biomorphic algorithms, cross-disciplinary topics and applications. | |
| 650 | 7 |
_2embne _aInteligencia artificial _xCongresos y asambleas |
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| 650 | 7 |
_2embne _aCibernética _xCongresos y asambleas |
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| 650 | 7 |
_2embne _aAgentes inteligentes (Programas de ordenador) _xCongresos y asambleas |
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| 700 | 1 |
_aSahana, Sudip Kumar _eeditor _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aBhattacharjee, Vandana _eeditor _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9789811382215 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811382239 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-8222-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_dz _feng _ggw _h0 _b01/2020 _eel _zSI |
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