Regression and Multiclass Classification Using Sparse Extreme Learning Machine via Smoothing Group L1/2 Regularizer

Extreme learning machine (ELM) is a simple feedforward neural network, and it has been extensively used in applications for its extremely fast learning speed and good generalization performance. Nevertheless, it is implemented normally under the empirical risk minimization scheme and the model train...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.191482-191494
Hauptverfasser:	Fan, Qinwei, Niu, Lei, Kang, Qian
Format:	Artikel
Sprache:	eng
Schlagworte:	Extreme learning machine Fans group <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">L ₁/₂ regularizer Mathematical model Neurons smoothing approximation Smoothing methods sparse Training
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