AI

The Neural SIR Model represents a major methodological advance in mathematical epidemiology by integrating the classical mechanistic Susceptible–Infectious–Recovered (SIR) framework with modern deep learning techniques, particularly Physics-Informed Neural Networks. This hybrid paradigm preserves the interpretability and biological grounding of differential equation–based models while exploiting the expressive power of neural networks for accurate parameter inference and … Read more