fig5

Intelligent data-informed study of ionospheric TEC dynamics: learning partial differential equations via PINN, PDE-Net2, and SINDy

Figure 5. Comparison of global MAE, R-square and RMSE for PINN, PDE2, and SINDy models across different time steps. MAE: Mean absolute error; RMSE: root mean square error; PINN: physics-informed neural network; PDE: partial differential equation; SINDy: sparse identification of nonlinear dynamics.

Intelligence & Robotics
ISSN 2770-3541 (Online)

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Portico

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