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Engineering Applications of Neural Networks : 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings / edited by Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, Elias Pimenidis

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Communications in Computer and Information Science ; 1600Publisher: Cham : Springer International Publishing, 2022Publisher: Cham : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 Online-Ressource(XXIX, 530 p. 193 illus., 143 illus. in color.)ISBN:
  • 9783031082238
Subject(s): Additional physical formats: 9783031082221 | 9783031082245 | Erscheint auch als: 9783031082221 Druck-Ausgabe | Erscheint auch als: 9783031082245 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-08223-8Online resources: Summary: 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.Summary: 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.PPN: PPN: 1807343464Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS
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