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.
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.
Inhaltsverzeichnis
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.
Klappentext
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.nnThe 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.
