Nature Communications (Sep 2021)

Next generation reservoir computing

  • Daniel J. Gauthier,
  • Erik Bollt,
  • Aaron Griffith,
  • Wendson A. S. Barbosa

DOI
https://doi.org/10.1038/s41467-021-25801-2
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 8

Abstract

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Reservoir computers are artificial neural networks that can be trained on small data sets, but require large random matrices and numerous metaparameters. The authors propose an improved reservoir computer that overcomes these limitations and shows advantageous performance for complex forecasting tasks