Jonnel A. Jaurigue

2 months ago | nature.com | Jonnel A. Jaurigue |Joshua Robertson |Antonio Hurtado

AbstractReservoir computing is a machine learning method that is well-suited for complex time series prediction tasks. Both delay embedding and the projection of input data into a higher-dimensional space play important roles in enabling accurate predictions. We establish simple post-processing methods that train on past node states at uniformly or randomly-delayed timeshifts.