A Koopman-PINN Framework for Epidemic Models: Parameter Inference and Forecasting

Achraf Zinihi, Matthias Ehrhardt, Moulay Rchid Sidi Ammi

We propose a Koopman-enhanced physics-informed neural network (K--PINN) framework for parameter inference and forecasting in nonlinear epidemic models. This method combines Koopman…