ESTIMATION OF HEIGHT OF EUCALYPTUS TREES WITH NEUROEVOLUTION OF AUGMENTING TOPOLOGIES (NEAT)

ESTIMATION OF HEIGHT OF EUCALYPTUS TREES WITH NEUROEVOLUTION OF AUGMENTING TOPOLOGIES (NEAT)

ABSTRACT The aim of this study was to evaluate the method of neuroevolution of augmenting topologies (NEAT) to adjust the weights and the topology of artificial neural networks (ANNs) in the estimation of tree height in a clonal population of eucalyptus, and compare with estimates obtained by a hyps...

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Bibliographic Details
Main Authors: Daniel Henrique Breda Binoti, Paulo Junio Duarte, Mayra Luiza Marques da Silva, Gilson Fernandes da Silva, Helio Garcia Leite, Adriano Ribeiro de Mendonça, Valdir Carlos Lima De Andrade, Andreina Epifanía Dávila Vega
Format: Article
Language:English
Published: Sociedade de Investigações Florestais 2018-02-01
Series:Revista Árvore
Subjects:
Relação hipsométrica
Mensuração florestal
Redes neurais artificiais
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000300213&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622017000300213&lng=en&tlng=en

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