Artificial Neural Networks and Machine Learning - ICANN 2022

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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. 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.



Inhalt
Deep Learning.- , Neural Network Theory.- Relational Learning, Reinforcement Learning.- Natural language processing, Generative Models.- Graphical Models, Recommender Systems.- Image Processing, Recurrent Networks.- Evolutionary Neural Networks.- Unsupervised Neural Networks.- Neural Network Models.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031159183
    • Genre Information Technology
    • Auflage 1st ed. 2022
    • Editor Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin
    • Lesemotiv Verstehen
    • Anzahl Seiten 761
    • Größe H42mm x B155mm x T235mm
    • Jahr 2022
    • EAN 9783031159183
    • Format Kartonierter Einband
    • ISBN 978-3-031-15918-3
    • Titel Artificial Neural Networks and Machine Learning - ICANN 2022
    • Untertitel 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part I
    • Herausgeber Springer
    • Sprache Englisch

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