Verfügbarkeit: Artificial neural networks and machine learning

Artificial neural networks and machine learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part I

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Bibliographische Detailangaben
Körperschaft:	ICANN (Veranstaltung) Bristol (VerfasserIn)
Weitere Verfasser:	Pimenidis, Elias (HerausgeberIn), Angelov, Plamen (HerausgeberIn), Jayne, Chrisina (HerausgeberIn), Papaleonidas, Antonios (HerausgeberIn), Aydin, Mehmet (HerausgeberIn)
Format:	Elektronisch Tagungsbericht E-Book
Sprache:	English
Veröffentlicht:	Cham, Switzerland Springer [2022]
Schriftenreihe:	Lecture notes in computer science 13529
Schlagworte:	Artificial Intelligence Computer and Information Systems Applications Computing Milieux Computer Engineering and Networks Artificial intelligence Application software Computers Computer engineering Computer networks Modell Nervennetz Gehirn Neuronales Netz Anwendung Maschinelles Lernen Konferenzschrift > 2022 > Bristol
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Beschreibung:	1 Online-Ressource (xxii, 761 Seiten) 242 Illustrationen, 219 in Farbe
ISBN:	9783031159190
ISSN:	1611-3349
DOI:	10.1007/978-3-031-15919-0

Internformat

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genre	(DE-588)1071861417 Konferenzschrift 2022 Bristol gnd-content
genre_facet	Konferenzschrift 2022 Bristol
id	DE-604.BV048495938
illustrated	Not Illustrated
index_date	2024-07-03T20:43:17Z
indexdate	2024-08-01T10:50:45Z
institution	BVB
institution_GND	(DE-588)1270763067
isbn	9783031159190
issn	1611-3349
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-033873293
oclc_num	1347223306
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owner	DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634
owner_facet	DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634
physical	1 Online-Ressource (xxii, 761 Seiten) 242 Illustrationen, 219 in Farbe
psigel	ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2022 ZDB-2-LNC_2022 ZDB-2-LNC ZDB-2-LNC_2022
publishDate	2022
publishDateSearch	2022
publishDateSort	2022
publisher	Springer
record_format	marc
series	Lecture notes in computer science
series2	Lecture notes in computer science
spellingShingle	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part I Lecture notes in computer science Artificial Intelligence Computer and Information Systems Applications Computing Milieux Computer Engineering and Networks Artificial intelligence Application software Computers Computer engineering Computer networks Modell (DE-588)4039798-1 gnd Nervennetz (DE-588)4041638-0 gnd Gehirn (DE-588)4019752-9 gnd Neuronales Netz (DE-588)4226127-2 gnd Anwendung (DE-588)4196864-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)4039798-1 (DE-588)4041638-0 (DE-588)4019752-9 (DE-588)4226127-2 (DE-588)4196864-5 (DE-588)4193754-5 (DE-588)1071861417
title	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part I
title_auth	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part I
title_exact_search	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part I
title_exact_search_txtP	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part I
title_full	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part I Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin (eds.)
title_fullStr	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part I Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin (eds.)
title_full_unstemmed	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part I Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin (eds.)
title_short	Artificial neural networks and machine learning – ICANN 2022
title_sort	artificial neural networks and machine learning icann 2022 31st international conference on artificial neural networks bristol uk september 6 9 2022 proceedings part i
title_sub	31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part I
topic	Artificial Intelligence Computer and Information Systems Applications Computing Milieux Computer Engineering and Networks Artificial intelligence Application software Computers Computer engineering Computer networks Modell (DE-588)4039798-1 gnd Nervennetz (DE-588)4041638-0 gnd Gehirn (DE-588)4019752-9 gnd Neuronales Netz (DE-588)4226127-2 gnd Anwendung (DE-588)4196864-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Artificial Intelligence Computer and Information Systems Applications Computing Milieux Computer Engineering and Networks Artificial intelligence Application software Computers Computer engineering Computer networks Modell Nervennetz Gehirn Neuronales Netz Anwendung Maschinelles Lernen Konferenzschrift 2022 Bristol
url	https://doi.org/10.1007/978-3-031-15919-0
volume_link	(DE-604)BV014880109
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