Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
Erscheinungsjahr:
2017
Medientyp:
Text
Schlagworte:
004 Informatik
54.72 Künstliche Intelligenz
ddc:004
Beschreibung:
We investigate Echo State Networks (ESN), which implement a new training paradigm for recurrent neural networks. We first demonstrate their gesture classification performance considering two feature sets with very distinct complexity. Second, we introduce the recurrence analysis for qualitative and quantitative description of the gesture input and the system dynamics of an ESN, and show that the methodology complements classic stability measures. Finally, we address the reservoir itself and propose an algorithm for pruning connectivity in a one-shot learning scenario.