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  5. Artificial Neural Networks and Machine Learning ¿ ICANN 2022

Artificial Neural Networks and Machine Learning ¿ ICANN 2022

av Plamen Angelov, Chrisina Jayne, Mehmet Aydin, Elias Pimenidis, Antonios Papaleonidas

del av Lecture Notes in Computer Science-serien

Artificial Neural Networks and Machine Learning ¿ ICANN 2022 av Plamen Angelov
Om Artificial Neural Networks and Machine Learning ¿ ICANN 2022

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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  • Språk:
  • Engelsk
  • ISBN:
  • 9783031159183
  • Bindende:
  • Paperback
  • Sider:
  • 788
  • Utgitt:
  • 7 september 2022
  • Utgave:
  • 22001
  • Dimensjoner:
  • 155x42x235 mm.
  • Vekt:
  • 1171 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 27 juli 2024

Om Plamen Angelov

Se alle bøkene av Plamen Angelov

Beskrivelse av Artificial Neural Networks and Machine Learning ¿ ICANN 2022

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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