Artificial neural networks and machine learning – ICANN 2022 : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, proceedings; part IV / edited by Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Computer Science ; 13532 | Springer eBook CollectionPublisher: Cham : Springer Nature Switzerland, 2022Publisher: Cham : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 Online-Ressource(XXII, 795 p. 280 illus., 259 illus. in color.)ISBN:

9783031159374

Subject(s):

Additional physical formats: 9783031159367 | 9783031159381 | Erscheint auch als: 9783031159367 Druck-Ausgabe | Erscheint auch als: 9783031159381 Druck-AusgabeDDC classification:

006.3 23

DOI: DOI: 10.1007/978-3-031-15937-4Online resources:

Summary: The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.PPN: PPN: 1816516295Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC | BSZ-2-SN-Auswahl

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