Identification of Ordinary Differential Equation Surrogates from Numerical Integration with Adaptive Time-Step Schemes
An approach is presented where a neural network surrogate for the state function of the system is trained while being embedded into a numerical integration scheme with step-size control and may be finally used as a substitute for the unknown ODE under investigation.