Artificial Neural Networks and Machine Learning – ICANN 2014

24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings

herausgegeben von: Stefan Wermter, Cornelius Weber, Włodzisław Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Alessandro E. P. Villa

Verlag: Springer International Publishing

Buchreihe : Lecture Notes in Computer Science

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

The book constitutes the proceedings of the 24th International Conference on Artificial Neural Networks, ICANN 2014, held in Hamburg, Germany, in September 2014.

The 107 papers included in the proceedings were carefully reviewed and selected from 173 submissions. The focus of the papers is on following topics: recurrent networks; competitive learning and self-organisation; clustering and classification; trees and graphs; human-machine interaction; deep networks; theory; reinforcement learning and action; vision; supervised learning; dynamical models and time series; neuroscience; and applications.

Titel: Artificial Neural Networks and Machine Learning – ICANN 2014
herausgegeben von: Stefan Wermter
Cornelius Weber
Włodzisław Duch
Timo Honkela
Petia Koprinkova-Hristova
Sven Magg
Günther Palm
Alessandro E. P. Villa
Verlag: Springer International Publishing
Electronic ISBN: 978-3-319-11179-7
Print ISBN: 978-3-319-11178-0
DOI: https://doi.org/10.1007/978-3-319-11179-7