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Artificial Neural Networks and Machine Learning - ICANN 2017
Details
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; Representation and Classification; Clustering; Learning from Data Streams and Time Series; Image Processing and Medical Applications; Advances in Machine Learning.
There are 63 short paper abstracts that are included in the back matter of the volume.
Includes supplementary material: sn.pub/extras
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319685991
- Herausgeber Springer Nature Switzerland
- Anzahl Seiten 504
- Genre Software
- Auflage 1st edition 2017
- Editor Alessandra Lintas, Alessandro E. P. Villa, Paul F. M. J. Verschure, Stefano Rovetta
- Sprache Englisch
- Gewicht 756g
- Untertitel 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I
- Größe H235mm x B155mm x T28mm
- Jahr 2017
- EAN 9783319685991
- Format Kartonierter Einband
- ISBN 3319685996
- Veröffentlichung 25.10.2017
- Titel Artificial Neural Networks and Machine Learning - ICANN 2017