KSCNs apply kernel ridge regression on top of supervised random SCN features and report improved regression accuracy and stability on three datasets.
Predicting particle size of copper ore grinding with stochastic configuration networks,
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Kernel Stochastic Configuration Networks for Nonlinear Regression
KSCNs apply kernel ridge regression on top of supervised random SCN features and report improved regression accuracy and stability on three datasets.