Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics-Reference-Cited by-同舟云学术

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Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics

Published:2020-06 Issue: Volume:126 Page:191-217
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Vlachas P.R.^ORCID,Pathak J.,Hunt B.R.,Sapsis T.P.,Girvan M.,Ott E.,Koumoutsakos P.^ORCID

Funder

Army Research Office

Defense Advanced Research Projects Agency

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference95 articles.

1. Tensorflow: A system for large-scale machine learning;Abadi,2016

2. Analysis of observed chaotic data;Abarbanel,2012

3. Machine-learning ocean dynamics from Lagrangian drifter trajectories;Aksamit,2019

4. Brain-inspired photonic signal processor for generating periodic patterns and emulating chaotic systems;Antonik;Physical Review Applied,2017

5. Unitary evolution recurrent neural networks;Arjovsky,2016

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