Engineering applications of neural networks 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14-17, 2023, proceedings
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....
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Weitere Verfasser: | , , , , |
Format: | UnknownFormat |
Sprache: | eng |
Veröffentlicht: |
Cham
Springer
2023
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Schriftenreihe: | Communications in computer and information science
1826 |
Schlagworte: |
Artificial intelligence
> COMPUTERS / Artificial Intelligence
> COMPUTERS / Data Processing / General
> COMPUTERS / Networking / General
> COMPUTERS / Programming / Software Development
> Computer networking & communications
> Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften
> Computerhardware
> EDUCATION / Computers & Technology
> Educational equipment & technology, computer-aided learning (CAL)
> Information technology: general issues
> Künstliche Intelligenz
> Lehrmittel, Lerntechnologien, E-Learning
> Software Engineering
> Konferenzschrift
> Genetischer Algorithmus
> Deep learning
> Maschinelles Lernen
> Natürliche Sprache
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Online Zugang: | Cover Inhaltsverzeichnis |
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Zusammenfassung: | 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. 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 |
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Beschreibung: | xxxii, 621 Seiten Illustrationen, Diagramme |
ISBN: | 9783031342035 978-3-031-34203-5 |