Artificial Neural Networks and Machine Learning – ICANN 2022

Artificial Neural Networks and Machine Learning – ICANN 2022

  • Elias Pimenidis
  • Plamen Angelov
  • Chrisina Jayne
  • Antonios Papaleonidas
  • Mehmet Aydin
Publisher:Springer NatureISBN 13: 9783031159343ISBN 10: 3031159349

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Artificial Neural Networks and Machine Learning – ICANN 2022 is written by Elias Pimenidis and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031159349 (ISBN 10) and 9783031159343 (ISBN 13).

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.