Artificial Neural Networks and Machine Learning - ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part I

by Elias Pimenidis (Editor), Plamen Angelov (Editor), Chrisina Jayne (Editor), Antonios Papaleonidas (Editor), Mehmet Aydin (Editor)

Overview

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.

Product Details

ISBN-13:	9783031159190
Publisher:	Springer-Verlag New York, LLC
Publication date:	09/06/2022
Series:	Lecture Notes in Computer Science , #13529
Sold by:	Barnes & Noble
Format:	eBook
File size:	115 MB
Note:	This product may take a few minutes to download.

Table of Contents

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.