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Development of efficient algorithms for Single-pass neural networks (GCNN*…
Development of efficient algorithms for Single-pass neural networks
Automatic regularization parameter selection using MRM for Regularized ELM
regularization parameter
L1-ELM and L2-ELM
Number of hidden units
L1-ELM
GCNN*
Laplace distribution
Clustering approach
Estimation of smoothing parameter
Automatic smoothing parameter selection using BAT algorithm in Laplacian Weighted PNN for Classification
Novel weighting approach
Laplace distribution
Smoothing factor estimation using BAT algorithm
Automatic regularization parameter selection for L1-norm regularized ELM using L-curve and U-curve
IRLS
ADMM
ISTA and FISTA
Automatic estimation of regularization parameter using L-curve and U-curve method for L2-norm regularized ELM
L-curve
U-curve
Compared with the GCV and Pseudo-inverse and CV