Wood moisture content prediction using feature selection techniques and a kernel method

Wood is a renewable, abundant bio-energy and environment friendly resource. Woody biomass Moisture Content (MC) is a key parameter for controlling the biofuel product qualities and properties. In this paper, we are interested in predicting MC from data. The input impedance of half-wave dipole antenn...

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Veröffentlicht in:	Neurocomputing (Amsterdam) 2017-05, Vol.237, p.79-91
Hauptverfasser:	Daassi-Gnaba, Hela, Oussar, Yacine, Merlan, Maria, Ditchi, Thierry, Géron, Emmanuel, Holé, Stéphane
Format:	Artikel
Sprache:	eng
Schlagworte:	Condensed Matter Feature selection LS-SVM Materials Science Moisture content Nonlinear regression Physics
Online-Zugang:	Volltext
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