arXiv · 1901.07729
Consistency in Echo-State Networks
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.
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Thomas Lymburn, Alexander Khor, Thomas Stemler, Débora C. Corrêa, Michael Small, Thomas Jüngling. 2019-01-23. Consistency in Echo-State Networks. https://doi.org/10.1063/1.5079686
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