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Engineering Applications of Neural Networks: 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 1720, 2022, Proceedings 1st ed. 2022 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 530 pages, height x width: 235x155 mm, weight: 848 g, 143 Illustrations, color; 50 Illustrations, black and white; XXIX, 530 p. 193 illus., 143 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1600
  • Izdošanas datums: 15-Jun-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031082222
  • ISBN-13: 9783031082221
  • Mīkstie vāki
  • Cena: 91,53 €*
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  • Formāts: Paperback / softback, 530 pages, height x width: 235x155 mm, weight: 848 g, 143 Illustrations, color; 50 Illustrations, black and white; XXIX, 530 p. 193 illus., 143 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1600
  • Izdošanas datums: 15-Jun-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031082222
  • ISBN-13: 9783031082221
This book constitutes the refereed proceedings of the 23rd International Conference on Engineering Applications of Neural Networks, EANN 2022, held in Chersonisos, Crete, Greece, in June 2022.

The 37 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on Bio inspired Modeling / Novel Neural Architectures; Classification / Clustering; Machine Learning; Convolutional / Deep Learning; Datamining / Learning / Autoencoders; Deep Learning / Blockchain; Machine Learning for Medical Images / Genome Classification; Reinforcement /Adversarial / Echo State Neural Networks; Robotics / Autonomous Vehicles, Photonic Neural Networks; Text Classification / Natural Language.

Bio inspired Modeling / Novel Neural Architectures.- Classification /
Clustering - Machine Learning.- Convolutional / Deep Learning.- Datamining /
Learning / Autoencoders.- Deep Learning / Blockchain.- Machine Learning for
Medical Images / Genome Classification.- Reinforcement /Adversarial / Echo
State Neural Networks.- Robotics / Autonomous Vehicles, Photonic Neural
Networks.- Text Classification / Natural Language.