Advances in computational intelligence Part 2

Deep Learning and Applications.- Deep Learning Applied to Computer Vision and Robotics.- General Applications of Artificial Intelligence.- Interaction with Neural Systems in Both Health and Disease.- Machine Learning for 4.0 Industry Solutions.- Neural Networks in Chemistry and Material Characteriza...

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Körperschaft: International Work-Conference on Artificial Neutral Networks (VerfasserIn)
Weitere Verfasser: Rojas, Ignacio (HerausgeberIn), Joya, Gonzalo (HerausgeberIn), Catala, Andreu (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham Springer 2023
Schriftenreihe:Lecture notes in computer science 14135
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Zusammenfassung:Deep Learning and Applications.- Deep Learning Applied to Computer Vision and Robotics.- General Applications of Artificial Intelligence.- Interaction with Neural Systems in Both Health and Disease.- Machine Learning for 4.0 Industry Solutions.- Neural Networks in Chemistry and Material Characterization.- Ordinal Classification.- Real World Applications of BCI Systems.- and Spiking Neural Networks: Applications and Algorithms.
This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19-21, 2023. The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions. The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis. The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms
Beschreibung:Literaturangaben
Beschreibung:xxiv, 669 Seiten
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ISBN:9783031430770
978-3-031-43077-0