صورة الغلاف

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

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....

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
مؤلف مشترك: SpringerLink (Online service)
مؤلفون آخرون: Iliadis, Lazaros (المحرر), Maglogiannis, Ilias (المحرر), Alonso, Serafin (المحرر), Jayne, Chrisina (المحرر), Pimenidis, Elias (المحرر)
التنسيق: الكتروني كتاب الكتروني
اللغة:الإنجليزية
منشور في: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
الطبعة:1st ed. 2023.
سلاسل:Communications in Computer and Information Science, 1826
الموضوعات:
Artificial intelligence.
Computer engineering.
Computer networks .
Software engineering.
Social sciences > Data processing.
Education > Data processing.
Artificial Intelligence.
Computer Engineering and Networks.
Software Engineering.
Computer Application in Social and Behavioral Sciences.
Computers and Education.
الوصول للمادة أونلاين:https://doi.org/10.1007/978-3-031-34204-2
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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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