Availability: Artificial neural networks and machine learning – ICANN 2022

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

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Bibliographic Details
Corporate Author:	ICANN (Veranstaltung) Bristol (Author)
Other Authors:	Pimenidis, Elias (Editor), Angelov, Plamen (Editor), Jayne, Chrisina (Editor), Papaleonidas, Antonios (Editor), Aydin, Mehmet (Editor)
Format:	Electronic Conference Proceedings eBook
Language:	English
Published:	Cham, Switzerland Springer [2022]
Series:	Lecture notes in computer science 13532
Subjects:	Artificial Intelligence Computer and Information Systems Applications Computer Vision Computer Engineering and Networks Artificial intelligence Application software Computer vision Computer engineering Computer networks Maschinelles Lernen Neuronales Netz Gehirn Nervennetz Anwendung Modell Konferenzschrift > 2022 > Bristol
Links:	https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4 https://doi.org/10.1007/978-3-031-15937-4
Physical Description:	1 Online-Ressource (xxii, 795 Seiten) 280 Illustrationen, 259 in Farbe
ISBN:	9783031159374
ISSN:	1611-3349
DOI:	10.1007/978-3-031-15937-4

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genre	(DE-588)1071861417 Konferenzschrift 2022 Bristol gnd-content
genre_facet	Konferenzschrift 2022 Bristol
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physical	1 Online-Ressource (xxii, 795 Seiten) 280 Illustrationen, 259 in Farbe
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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 IV Lecture notes in computer science Artificial Intelligence Computer and Information Systems Applications Computer Vision Computer Engineering and Networks Artificial intelligence Application software Computer vision Computer engineering Computer networks Maschinelles Lernen (DE-588)4193754-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Gehirn (DE-588)4019752-9 gnd Nervennetz (DE-588)4041638-0 gnd Anwendung (DE-588)4196864-5 gnd Modell (DE-588)4039798-1 gnd
subject_GND	(DE-588)4193754-5 (DE-588)4226127-2 (DE-588)4019752-9 (DE-588)4041638-0 (DE-588)4196864-5 (DE-588)4039798-1 (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 IV
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 IV
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 IV
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 IV 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 IV 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 IV 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 iv
title_sub	31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings, part IV
topic	Artificial Intelligence Computer and Information Systems Applications Computer Vision Computer Engineering and Networks Artificial intelligence Application software Computer vision Computer engineering Computer networks Maschinelles Lernen (DE-588)4193754-5 gnd Neuronales Netz (DE-588)4226127-2 gnd Gehirn (DE-588)4019752-9 gnd Nervennetz (DE-588)4041638-0 gnd Anwendung (DE-588)4196864-5 gnd Modell (DE-588)4039798-1 gnd
topic_facet	Artificial Intelligence Computer and Information Systems Applications Computer Vision Computer Engineering and Networks Artificial intelligence Application software Computer vision Computer engineering Computer networks Maschinelles Lernen Neuronales Netz Gehirn Nervennetz Anwendung Modell Konferenzschrift 2022 Bristol
url	https://doi.org/10.1007/978-3-031-15937-4
volume_link	(DE-604)BV014880109
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