lw-kong / reservoir_with_a_parameter_channel_prr2021

Codes of our publication: Kong, Ling-Wei, Hua-Wei Fan, Celso Grebogi, and Ying-Cheng Lai. "Machine learning prediction of critical transition and system collapse." Physical Review Research 3, no. 1 (2021): 013090.

Reservoir_with_a_Parameter_Channel_PRR2021

A framework of parameter-aware reservoir computing, and its applications to predict critial transition, system collapse and transient chaos.

Codes of our publication: Kong, Ling-Wei, Hua-Wei Fan, Celso Grebogi, and Ying-Cheng Lai. "Machine learning prediction of critical transition and system collapse." Physical Review Research 3, no. 1 (2021): 013090.

We applied the same method on these three different systems. The codes of the food chain system have more comments, so you may want to begin with this system.

We have another repository with the same framework applying on different problems. There are also the codes for hyperparameter optimization in that repositry.

reservoir_with_a_parameter_channel_prr2021's Issues

A question concerning power system model

I would like to ask why the prediction success rate for the Power system model in the code is not high?