Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-based symbolic regression.
It could be nice to show the evolution of the value of the linear coefficients as a function of the number of observations, now associated to the sampling rate, I think, keeping the same number of subindividuals, individuals and generations. I would expect to see the value converge to the nominal one.
It could be nice to show the evolution of the value of the linear coefficients as a function of the number of observations, now associated to the sampling rate, I think, keeping the same number of subindividuals, individuals and generations. I would expect to see the value converge to the nominal one.