Support vector machines and neural networks used to evaluate paper manufactured using Eucalyptus globulus

Using advanced machine learning techniques as an alternative to conventional double-entry volume equations, a regression model of the inside-bark volume (dependent variable) for standing Eucalyptus globulus trunks (or main stems) has been built as a function of the following three independent variab...

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Veröffentlicht in:	Applied mathematical modelling 2012-12, Vol.36 (12), p.6137-6145
Hauptverfasser:	Garcia Nieto, PJ, Martinez Torres, J, Araujo Fernandez, M, Ordonez Galan, C
Format:	Artikel
Sprache:	eng
Schlagworte:	Eucalyptus globulus Inside-bark volume Multilayer perceptron networks (MLP) Paper manufacturing Regression analysis Support vector machines (SVM)
Online-Zugang:	Volltext
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