Consistency in echo-state networks

Thomas Michael Lymburn, Alexander Joseph Khor, Thomas Stemler, Debora Correa, Michael Small, Thomas Jungling

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)
354 Downloads (Pure)

Abstract

Consistency is an extension to generalized synchronization which quantifies the degree of functional dependency of a driven nonlinear system to its input. We apply this concept to echo-state networks, which are an artificial-neural network version of reservoir computing. Through a replica test, we measure the consistency levels of the high-dimensional response, yielding a comprehensive portrait of the echo-state property.
Original languageEnglish
Article number023118
Pages (from-to)1-9
Number of pages9
JournalChaos: an interdisciplinary journal of nonlinear science
Volume29
Issue number2
DOIs
Publication statusPublished - 1 Feb 2019

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