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.

Autorentext

Inhalt
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.