Regularized least squares on parameter-linear dynamic models, named PIR, is claimed to estimate epidemic model parameters faster and more accurately than physics-informed neural networks.
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Physics-Informed Regression: Parameter Estimation in Parameter-Linear Nonlinear Dynamic Models
Regularized least squares on parameter-linear dynamic models, named PIR, is claimed to estimate epidemic model parameters faster and more accurately than physics-informed neural networks.