Feature selection by genetic algorithm in nonlinear taper model

Tree stem profile results from a complex structure of shapes and dimensions determined by ecological processes within the forest. However, the feature selection in the development of taper models has been underinvestigated to date. We propose a genetic algorithm (GA) to assess factors that affect th...

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Veröffentlicht in:	Canadian journal of forest research 2022-05, Vol.52 (5), p.769-779
Hauptverfasser:	Lacerda, Talles Hudson Souza, Miranda, Evandro Nunes, Lopes, Isáira Leite e, Fonseca, Guilherme Rodrigues, França, Luciano Cavalcante de Jesus, Gomide, Lucas Rezende
Format:	Artikel
Sprache:	eng
Schlagworte:	algorithme évolutionniste Algorithms covariables morphométriques Diameters Estimates Eucalyptus evolutionary algorithm Feature selection Forest management forest planning Genetic algorithms modèles de régression morphometric covariates Performance evaluation planification forestière regression models Statistical analysis Stems sélection de variables Tapering Technology application Trees variable selection
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