000			02705nam a22003735i 4500
999			_c398210 _d398210 _x1
001			398210
003			ES-MaUEC
005			20240429180354.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			230531s2023 sz | o |||| 0|eng d
020			_a9783031342042
024	7		_a10.1007/978-3-031-34204-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.87 _b2023 EB
245	0	0	_aEngineering Applications of Neural Networks : _b24th International Conference, EAAAIEANN 2023, León, Spain, June 14-17, 2023, Proceedings _cedited by Lazaros Iliadis, Ilias Maglogiannis, Serafin Alonso, Chrisina Jayne, Elias Pimenidis
250			_a1st ed 2023
264		1	_aCham _bSpringer Nature Switzerland _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aCommunications in Computer and Information Science _x1865-0937 _v1826
505	0		_aArtificial Intelligence - Computational Methods - Ethology -- Classification - Filtering - Genetic Algorithms -- Complex Dynamic Networks' Optimization/ Graph Neural Networks -- Convolutional Neural Networks / Spiking Neural Networks -- Deep Learning Modeling -- Deep/Machine Learning in Engineering -- LEARNING (Reinforcemet - Federated - Adversarial - Transfer) -- Natural Language - Recommendation Systems.
520			_aThis book constitutes the refereed proceedings of the 24th International Conference on Engineering Applications of Neural Networks, EANN 2023, held in León, Spain, in June 2023. The 41 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on artificial intelligence - computational methods - ethology; classification - filtering - genetic algorithms; complex dynamic networks' optimization/ graph neural networks; convolutional neural networks/spiking neural networks; deep learning modeling; deep/machine learning in engineering; LEARNING (reinforcemet - federated - adversarial - transfer); natural language - recommendation systems.
988			_aSpringer_Computer_2023
650		7	_2embne _9678664 _aRedes neuronales artificiales _vCongresos y asambleas
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-34204-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2024 _dz _ek _zSI