A hybrid LASSO plus L2-regularized RSCN is proposed for nonlinear dynamics modelling, with improved reported test accuracy but a gap in the universal approximation proof.
Ensemble stochastic configuration networks for estimating prediction intervals: a simultaneous robust training algorithm and its application,
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Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling
A hybrid LASSO plus L2-regularized RSCN is proposed for nonlinear dynamics modelling, with improved reported test accuracy but a gap in the universal approximation proof.