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Here we take care of data generation, experiments and visualization. We also include the KS model here.

Dependencies: github.com/erik808/ESN

training data generation class DataGen

see DataGen.m

ESN experiment wrapper class

  • Performs training and prediction for many training data sets and many realizations of the random ESN operators W and Win.
  • parallel and serial option

remove matlab threading

data members

exp_id; % experiment id store_state; % which state to store hyp; % hyper parameter struct

member functions

range2str() % converts numeric range to a string

visualization class

data members

member functions