Engineering Applications of Neural Networks

24th International Conference, EAAAI/EANN 2023, León, Spain, June 14-17, 2023, Proceedings
1. Auflage 2023
ISBN: 978-3-031-34203-5
Verlag: Springer

Buch, Englisch, Band 1826, 621 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 978 g

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Iliadis, Lazaros

Maglogiannis, Ilias

Alonso, Serafin

Jayne, Chrisina

Pimenidis, Elias

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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.

Über Autor(innen)