Dynamic properties of an SARS-CoV-2 epidemic model via stochastic PINNs
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This paper introduces a novel stochastic SEIRV model for investigating the spread of the SARS-CoV-2 epidemic using stochastic physics-informed neural networks (S-PINNs). We first prove the global positivity of solutions via Lyapunov functions and Itô's formu... ...
