Engineering Applications of Neural Networks
23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022, Proceedings
Published on 15. June 2022
Book
Paperback/Softback
XXIX, 530 pages
978-3-031-08222-1 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
143 farbige Abbildungen, 50 s/w Abbildungen
XXIX, 530 p. 193 illus., 143 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 30 mm
Weight
838 gr
ISBN-13
978-3-031-08222-1 (9783031082221)
DOI
10.1007/978-3-031-08223-8
Schweitzer Classification
Other editions
Additional editions
Lazaros Iliadis | Chrisina Jayne | Anastasios Tefas
Engineering Applications of Neural Networks
23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022, Proceedings
E-Book
06/2022
Springer
€96.29
Available for download
Content
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.