Advances in Computational Intelligence: 17th International Work-Conference on Artificial Neural Networks,...

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Ignacio Rojas Gonzalo Joya

Advances in Computational Intelligence

17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada,...

Ignacio Rojas, Gonzalo Joya, Andreu Catala

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English

Springer International Publishing AG
02 October 2023

Biology, life sciences; Neural networks & fuzzy systems

Series: Lecture Notes in Computer Science

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 materialcharacterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.

Edited by: Ignacio Rojas, Gonzalo Joya, Andreu Catala
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 2023 ed.
Volume: 14134
Dimensions: Height: 235mm, Width: 155mm,
Weight: 1.104kg
ISBN: 9783031430848
ISBN 10: 3031430840
Series: Lecture Notes in Computer Science
Pages: 707
Publication Date: 02 October 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Advanced Topics in Computational Intelligence.- Advances in Artificial Neural Networks.- ANN HW-Accelerators.- Applications of Machine Learning in Biomedicine and Healthcare.- Applications of Machine Learning in Time Series Analysis.