Generative Dynamical Synthesis: A Behavioral Learning Framework for Autonomous Neural Dynamical Systems from Bifurcation Diagrams
Many machine-learning approaches to nonlinear dynamical systems focus on trajectory prediction or equation discovery. This work introduces the Generative Dynamical Synthesis (GDS) framework, a behavioral learning approach in which an autonomous neural dynamical system is trained from asymptotic state-transition samples...