Artificial Neural Networks and Machine Learning – ICANN 2022 : 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.

Format:

Book

Contributor:

Pimenidis, Elias, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13529

Language:

English

Subjects (All):

Artificial intelligence.

Application software.

Computers.

Computer engineering.

Computer networks.

Artificial Intelligence.

Computer and Information Systems Applications.

Computing Milieux.

Computer Engineering and Networks.

Local Subjects:

Artificial Intelligence.

Computer and Information Systems Applications.

Computing Milieux.

Computer Engineering and Networks.

Physical Description:

1 online resource (783 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

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.

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.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Pimenidis, Elias Artificial Neural Networks and Machine Learning - ICANN 2022

ISBN:

9783031159190

3031159195