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Reservoir computing with large valid prediction time for the Lorenz system
Lauren A Hurley, Sean E Shaheen
We study the dependence of the Valid Prediction Time (VPT) of Reservoir Computers (RCs) on hyperparameters including the regularization coefficient, reservoir size, and spectral ra…
A theoretical framework for reservoir computing on networks of organic electrochemical transistors
Nicholas W. Landry, Beckett R. Hyde, Jake C. Perez +2
Efficient and accurate prediction of physical systems is important even when the rules of those systems cannot be easily learned. Reservoir computing, a type of recurrent neural ne…
Tuning the activation function to optimize the forecast horizon of a reservoir computer
Lauren A. Hurley, Juan G. Restrepo, Sean E. Shaheen
Reservoir computing is a machine learning framework where the readouts from a nonlinear system (the reservoir) are trained so that the output from the reservoir, when forced with a…