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Engineering applications of neural networks = 24th International Conference, EAAAI/EANN 2023, Leon, Spain, June 14-17, 2023 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Engineering applications of neural networks/ edited by Lazaros Iliadis ... [et al.].
Reminder of title:	24th International Conference, EAAAI/EANN 2023, Leon, Spain, June 14-17, 2023 : proceedings /
remainder title:	EAAAI/EANN 2023
other author:	Iliadis, Lazaros S.
corporate name:	EANN (Conference)
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	xxxii, 621 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Artificial Intelligence - Computational Methods - Ethology -- Classification - Filtering - Genetic Algorithms -- Complex Dynamic Networks' Optimization/ Graph Neural Networks -- Convolutional Neural Networks / Spiking Neural Networks -- Deep Learning Modeling -- Deep/Machine Learning in Engineering -- LEARNING (Reinforcemet - Federated - Adversarial - Transfer) -- Natural Language - Recommendation Systems.
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-34204-2
ISBN:	9783031342042

Engineering applications of neural networks = 24th International Conference, EAAAI/EANN 2023, Leon, Spain, June 14-17, 2023 : proceedings /
Engineering applications of neural networks24th International Conference, EAAAI/EANN 2023, Leon, Spain, June 14-17, 2023 : proceedings /[electronic resource] :EAAAI/EANN 2023edited by Lazaros Iliadis ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xxxii, 621 p. :ill. (chiefly color), digital ;24 cm. - Communications in computer and information science,18261865-0937 ;. - Communications in computer and information science ;1826..

Artificial Intelligence - Computational Methods - Ethology -- Classification - Filtering - Genetic Algorithms -- Complex Dynamic Networks' Optimization/ Graph Neural Networks -- Convolutional Neural Networks / Spiking Neural Networks -- Deep Learning Modeling -- Deep/Machine Learning in Engineering -- LEARNING (Reinforcemet - Federated - Adversarial - Transfer) -- Natural Language - Recommendation Systems.

This book constitutes the refereed proceedings of the 24th International Conference on Engineering Applications of Neural Networks, EANN 2023, held in León, Spain, in June 2023. The 41 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on artificial intelligence - computational methods - ethology; classification - filtering - genetic algorithms; complex dynamic networks' optimization/ graph neural networks; convolutional neural networks/spiking neural networks; deep learning modeling; deep/machine learning in engineering; LEARNING (reinforcemet - federated - adversarial - transfer); natural language - recommendation systems.

ISBN: 9783031342042

Standard No.: 10.1007/978-3-031-34204-2doiSubjects--Topical Terms:

582186
Neural networks (Computer science)
--Congresses.

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Engineering applications of neural networks = 24th International Conference, EAAAI/EANN 2023, Leon, Spain, June 14-17, 2023 : proceedings /
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505 0 $a Artificial Intelligence - Computational Methods - Ethology -- Classification - Filtering - Genetic Algorithms -- Complex Dynamic Networks' Optimization/ Graph Neural Networks -- Convolutional Neural Networks / Spiking Neural Networks -- Deep Learning Modeling -- Deep/Machine Learning in Engineering -- LEARNING (Reinforcemet - Federated - Adversarial - Transfer) -- Natural Language - Recommendation Systems.
520 $a This book constitutes the refereed proceedings of the 24th International Conference on Engineering Applications of Neural Networks, EANN 2023, held in León, Spain, in June 2023. The 41 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on artificial intelligence - computational methods - ethology; classification - filtering - genetic algorithms; complex dynamic networks' optimization/ graph neural networks; convolutional neural networks/spiking neural networks; deep learning modeling; deep/machine learning in engineering; LEARNING (reinforcemet - federated - adversarial - transfer); natural language - recommendation systems.
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