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Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin e.a.

Artificial Neural Networks and Machine Learning – ICANN 2022

Name: Artificial Neural Networks and Machine Learning – ICANN 2022
Author: Elias Pimenidis

31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part I

Paperback Engels 2022 9783031159183

60,99

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Samenvatting

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.

Specificaties

ISBN13:9783031159183

Taal:Engels

Bindwijze:paperback

Uitgever:Springer International Publishing

Serie:Lecture Notes in Computer Science

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Inhoudsopgave

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.

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