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Engineering Applications of Neural Networks: 24th International Conference, EAAAI/EANN 2023, León, Spain, June 1417, 2023, Proceedings 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 621 pages, height x width: 235x155 mm, weight: 991 g, 165 Illustrations, color; 42 Illustrations, black and white; XXXII, 621 p. 207 illus., 165 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1826
  • Izdošanas datums: 01-Jun-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031342038
  • ISBN-13: 9783031342035
  • Mīkstie vāki
  • Cena: 91,53 €*
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  • Formāts: Paperback / softback, 621 pages, height x width: 235x155 mm, weight: 991 g, 165 Illustrations, color; 42 Illustrations, black and white; XXXII, 621 p. 207 illus., 165 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1826
  • Izdošanas datums: 01-Jun-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031342038
  • ISBN-13: 9783031342035
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.
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.