Sparse Random-Feature Neural Networks with Krylov-Based SVD for Singularly Perturbed ODE

Kevin Kurian Thomas Vaidyan, Siddharth Rout

Random-feature neural networks (RFNNs), including architectures with fixed hidden layers and analytically determined output weights, offer fast training but often suffer from issue…