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Engineering applications of neural n...

International Conference on Engineering Applications of Neural Networks (2022 :)

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Engineering applications of neural networks = 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Engineering applications of neural networks/ edited by Lazaros Iliadis ... [et al.].
Reminder of title:	23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022 : proceedings /
remainder title:	EAAAI/EANN 2022
other author:	Iliadis, Lazaros.
corporate name:	International Conference on Engineering Applications of Neural Networks
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xxix, 530 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-08223-8
ISBN:	9783031082238

Engineering applications of neural networks = 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022 : proceedings /
Engineering applications of neural networks23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022 : proceedings /[electronic resource] :EAAAI/EANN 2022edited by Lazaros Iliadis ... [et al.]. - Cham :Springer International Publishing :2022. - xxix, 530 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,16001865-0937 ;. - Communications in computer and information science ;1600..

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.

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.

ISBN: 9783031082238

Standard No.: 10.1007/978-3-031-08223-8doiSubjects--Topical Terms:

582186
Neural networks (Computer science)
--Congresses.

LC Class. No.: QA76.9.D343 / I57 2022

Dewey Class. No.: 006.312

Engineering applications of neural networks = 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022 : proceedings /
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520 $a 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.
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