Artificial Neural Networks and Machine Learning ICANN 2017 (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
801
Utgivningsdatum
2017-10-25
Upplaga
1st ed. 2017
Förlag
Springer International Publishing AG
Medarbetare
Lintas, Alessandra (ed.), Rovetta, Stefano (ed.), Verschure, Paul F. M. J. (ed.), Villa, Alessandro E. P. (ed.)
Illustratör/Fotograf
Bibliographie
Illustrationer
200 Illustrations, black and white; XXXI, 801 p. 200 illus.
Dimensioner
234 x 156 x 42 mm
Vikt
1149 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783319686110

Artificial Neural Networks and Machine Learning ICANN 2017

26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II

av Alessandra Lintas, Stefano Rovetta, Paul F M J Verschure, Alessandro E P Villa
Häftad,  Engelska, 2017-10-25
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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.
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Alessandra Lintas, Stefano Rovetta, Paul F M J Verschure, Alessandro E P Villa

Innehållsförteckning

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.

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