
Engineering Applications of Neural Networks
24th International Conference, EAAAI/EANN 2023, León, Spain, June 14-17, 2023, Proceedings
Springer (Publisher)
Published on 1. June 2023
Book
Paperback/Softback
XXXII, 621 pages
978-3-031-34203-5 (ISBN)
Description
This book constitutes the refereed proceedings of the 24th International Conference on Engineering Applications of Neural Networks, EANN 2023, held in León, Spain, in June 2023.
The 41 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on artificial intelligence - computational methods - ethology; classification - filtering - genetic algorithms; complex dynamic networks' optimization/ graph neural networks; convolutional neural networks/spiking neural networks; deep learning modeling; deep/machine learning in engineering; LEARNING (reinforcemet - federated - adversarial - transfer); natural language - recommendation systems.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
42 s/w Abbildungen, 165 farbige Abbildungen
XXXII, 621 p. 207 illus., 165 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 36 mm
Weight
978 gr
ISBN-13
978-3-031-34203-5 (9783031342035)
DOI
10.1007/978-3-031-34204-2
Schweitzer Classification
Other editions
Additional editions

Lazaros Iliadis | Ilias Maglogiannis | Serafin Alonso
Engineering Applications of Neural Networks
24th International Conference, EAAAI/EANN 2023, León, Spain, June 14-17, 2023, Proceedings
E-Book
06/2023
Springer
€96.29
Available for download
Persons
Content
Artificial Intelligence - Computational Methods - Ethology.- Classification - Filtering - Genetic Algorithms.- Complex Dynamic Networks' Optimization/ Graph Neural Networks.- Convolutional Neural Networks / Spiking Neural Networks.- Deep Learning Modeling.- Deep/Machine Learning in Engineering.- LEARNING (Reinforcemet - Federated - Adversarial - Transfer).- Natural Language - Recommendation Systems.