Extended dynamic mode decomposition with dictionary learning using neural ordinary differential equations

no code implementations • 1 Oct 2021 • Hiroaki Terao, Sho Shirasaka, Hideyuki Suzuki

Data-driven method called the extended dynamic mode decomposition (EDMD) and its variants, which approximate the Koopman operator associated with the nonlinear phenomena, have been rapidly developing by incorporating machine learning methods.

Dictionary Learning