Journal
NEURAL NETWORKS
Volume 76, Issue -, Pages 39-45Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2015.12.013
Keywords
Reservoir computing; Mean field theory; Lyapunov exponents; Echo State Networks
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Echo State Networks are efficient time-series predictors, which highly depend on the value of the spectral radius of the reservoir connectivity matrix. Based on recent results on the mean field theory of driven random recurrent neural networks, enabling the computation of the largest Lyapunov exponent of an ESN, we develop a cheap algorithm to establish a local and operational version of the Echo State Property. (C) 2016 Elsevier Ltd. All rights reserved.
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