Artificial Neural Networks and Machine Learning – ICANN 2017 | 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I | ISBN 9783319685991

Artificial Neural Networks and Machine Learning – ICANN 2017

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

herausgegeben von Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure und Alessandro E.P. Villa
Mitwirkende
Herausgegeben vonAlessandra Lintas
Herausgegeben vonStefano Rovetta
Herausgegeben vonPaul F.M.J. Verschure
Herausgegeben vonAlessandro E.P. Villa
Buchcover Artificial Neural Networks and Machine Learning – ICANN 2017  | EAN 9783319685991 | ISBN 3-319-68599-6 | ISBN 978-3-319-68599-1

Artificial Neural Networks and Machine Learning – ICANN 2017

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

herausgegeben von Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure und Alessandro E.P. Villa
Mitwirkende
Herausgegeben vonAlessandra Lintas
Herausgegeben vonStefano Rovetta
Herausgegeben vonPaul F.M.J. Verschure
Herausgegeben vonAlessandro E.P. Villa

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.