Artificial Neural Networks and Machine Learning - ICANN 2022 [electronic resource] : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part I / edited by Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin.
Contributor(s): Pimenidis, Elias [editor.]
| Angelov, Plamen [editor.] | Jayne, Chrisina [editor.] | Papaleonidas, Antonios [editor.] | Aydin, Mehmet [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Lecture Notes in Computer Science: 13529Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022.Description: XXII, 761 p. 23 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031159190.Subject(s): Artificial intelligence | Application software | Computers | Computer engineering | Computer networks | Artificial Intelligence | Computer and Information Systems Applications | Computing Milieux | Computer Engineering and Networks | Computer Engineering and NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online 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.
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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