Engineering Applications of Neural Networks: 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings

Author:   Lazaros Iliadis ,  Chrisina Jayne ,  Anastasios Tefas ,  Elias Pimenidis
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2022
Volume:   1600
ISBN:  

9783031082221


Pages:   530
Publication Date:   15 June 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Engineering Applications of Neural Networks: 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17–20, 2022, Proceedings


Overview

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.

Full Product Details

Author:   Lazaros Iliadis ,  Chrisina Jayne ,  Anastasios Tefas ,  Elias Pimenidis
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2022
Volume:   1600
Weight:   0.848kg
ISBN:  

9783031082221


ISBN 10:   3031082222
Pages:   530
Publication Date:   15 June 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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