A sparse extreme learning machine framework by continuous optimization algorithms and its application in pattern recognition

Extreme learning machine (ELM) has demonstrated great potential in machine learning owing to its simplicity, rapidity and good generalization performance. In this investigation, based on least-squares estimate (LSE) and least absolute deviation (LAD), we propose four sparse ELM formulations with zer...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 53; S. 176 - 189
Hauptverfasser:	Yang, Liming, Zhang, Siyun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.08.2016
Schlagworte:	Algorithms Approximation DC programming Deviation Estimates Exact penalty technique Extreme learning machine Hardness of licorice seeds Least absolute deviation Neural networks Optimization Support vector machines Zero-norm DC programming Zero-norm Extreme learning machine Hardness of licorice seeds Exact penalty technique Least absolute deviation
ISSN:	0952-1976, 1873-6769
Online-Zugang:	Volltext
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