Engineering Applications of Neural Networks: 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings

Author:   Lazaros Iliadis ,  Ilias Maglogiannis ,  Serafin Alonso ,  Chrisina Jayne
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2023
Volume:   1826
ISBN:  

9783031342035


Pages:   621
Publication Date:   01 June 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Engineering Applications of Neural Networks: 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings


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Overview

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.

Full Product Details

Author:   Lazaros Iliadis ,  Ilias Maglogiannis ,  Serafin Alonso ,  Chrisina Jayne
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2023
Volume:   1826
Weight:   0.991kg
ISBN:  

9783031342035


ISBN 10:   3031342038
Pages:   621
Publication Date:   01 June 2023
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

​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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