Artificial Neural Networks and Machine Learning – ICANN 2022 : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part II / edited by Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Computer Science ; 13530Publisher: Cham : Springer Nature Switzerland, 2022Publisher: Cham : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 Online-Ressource(XXII, 813 p. 247 illus., 220 illus. in color.)ISBN:

9783031159312

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Additional physical formats: 9783031159305 | 9783031159329 | Erscheint auch als: 9783031159305 Druck-Ausgabe | Erscheint auch als: 9783031159329 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-15931-2Online 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: 1816516279Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC | BSZ-2-SN-Auswahl

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