Smoothing group L1/2 regularized discriminative broad learning system for classification and regression
Abstract: Highlights•ε<math><mrow is="true"><mi is="true">ε</mi></mrow></math>-dragging technique was introduced into BLS to improve the discriminative ability.•Regularization is adopted to optimize network structure.•Theoretical analysis verifies the convergence of the algorithm.•Numerical simulations are conducted to verify the performance of the algorithm.
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