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Engineering Applications of Neural Networks [electronic resource] : 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings /

Contributor(s): Material type: TextTextSeries: Communications in Computer and Information Science ; 1826Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XXXII, 621 p. 207 illus., 165 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031342042
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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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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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