Artificial Neural Networks and Machine Learning ICANN 2017 : 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I /

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017. The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions. The...

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Bibliographic Details
Corporate Authors: SpringerLink Online service
Group Author: Lintas, Alessandra; Rovetta, Stefano; Verschure, Paul F,M,J; Villa, Alessandro E,P
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Lecture Notes in Computer Science, 10613
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-319-68600-4
Summary: The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017. The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions. They were organized in topical sections named: From Perception to Action; From Neurons to Networks; Brain Imaging; Recurrent Neural Networks; Neuromorphic Hardware; Brain Topology and Dynamics; Neural Networks Meet Natural and Environmental Sciences; Convolutional Neural Networks; Games and Strategy;
Carrier Form: 1 online resource (XXXI, 469 pages): illustrations.
ISBN: 9783319686004
Index Number: Q334
CLC: TP18-532
Contents: From Perception to Action -- From Neurons to Networks -- Brain Imaging; Recurrent Neural Networks -- Neuromorphic Hardware -- Brain Topology and Dynamics -- Neural Networks Meet Natural and Environmental Sciences -- Convolutional Neural Networks -- Games and Strategy -- Representation and Classification -- Clustering -- Learning from Data Streams and Time Series -- Image Processing and Medical Applications -- Advances in Machine Learning.