Covariance-driven orthogonalization of hidden-layer outputs plus PDE-residual early stopping reduces initialization sensitivity in PIELM for linear PDEs.
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Rank Inspired Neural Network for solving linear partial differential equations
Covariance-driven orthogonalization of hidden-layer outputs plus PDE-residual early stopping reduces initialization sensitivity in PIELM for linear PDEs.