Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference

Proceedings of the EANN 2020

Plamen Parvanov Angelov, Lazaros Iliadis, Chrisina Jayne, Elias Pimenidis


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This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and “AI winters.” Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors.

One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks.

Détails
Auteur
Plamen Parvanov  Angelov , Lazaros  Iliadis , Chrisina  Jayne , Elias  Pimenidis
Marque
Springer
Collection
Proceedings of the International Neural Networks Society
Parution
2020-05-27
Pages
619 pages
EAN papier
9783030487904
Langue
Anglais
Informations ebook
EAN PDF
9783030487911
Prix
239,99 €
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Nb pages copiables 6
Nb pages imprimables 61
Taille du fichier 63140 Ko
Ce livre est accessible aux handicaps   Informations sur l'accessibilité
EAN EPUB
9783030487911
Prix
239,99 €
En savoir plus
Nb pages copiables 6
Nb pages imprimables 61
Taille du fichier 84111 Ko
Ce livre est accessible aux handicaps   Informations sur l'accessibilité
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