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Artificial Neural Networks and Machine Learning – ICANN 2022 : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part I - 1st ed. 2022

By: (Edited by) Antonios Papaleonidas , (Edited by) Chrisina Jayne , (Edited by) Elias Pimenidis , (Edited by) Mehmet Aydin , (Edited by) Plamen Angelov

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Format: Paperback / Softback

ISBN-10: 3031159187

ISBN-13: 9783031159183

Edition: 1st ed. 2022

Series: Lecture Notes in Computer Science

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Sep 7th, 2022

Print length: 761 Pages

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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.

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.

Chapter "Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping " is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.


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