Data/hora: 13/06/2024 01:01:15

Provedor de dados: | 190
País: | Brazil

Título:

Study of stem form using artificial neural networks and taper functions

Estudo da forma do fuste utilizando redes neurais artificiais e funções de afilamento

Autores: | Schikowski, Ana Beatriz; Dalla Corte, Ana Paula; Sanquetta, Carlos Roberto.
Data: | 2015-06-30
Ano: | 2015
Palavras-chave: | Cubage; Eucalypt; Artificial intelligence Engenharia Florestal; Manejo Florestal Cubagem; Eucalipto; Inteligência artificial.
Resumo: | Artificial neural networks (ANN) have great potential as an alternative to conventional regression analysis because of its learning capacity of data set information and the generalization of learning to unknown data. So, the aim of this study was to apply RNAs to estimate relative diameter, total and commercial volume, as well as to compare their performance in relation to conventional taper functions. Data from 47 trees of Eucalyptus sp. were used in the training and validation of ANNs and in adjusting Hradetzky and Garay taper functions. The performance of ANNs were similar to the taper functions for diameter estimative, furthermore the estimative of commercial and total volume applying ANNs were more accurate and presented less residues scattering than Garay and Hradetzky function. ANNs were accurate and appropriate for the estimation of volume and relative diameter.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Português

Identificador:

http://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/867

10.4336/2015.pfb.35.82.867

Editor: | Embrapa Florestas

Relação:

http://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/867/412

http://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/downloadSuppFile/867/693

http://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/downloadSuppFile/867/756

http://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/downloadSuppFile/867/757

http://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/downloadSuppFile/867/758

Formato: | application/pdf

Fonte:

Brazilian Journal of Forestry Research; v. 35, n. 82 (2015); 119-127

Pesquisa Florestal Brasileira; v. 35, n. 82 (2015); 119-127

1983-2605

1809-3647

Fonte:

Direitos autorais 2015 Pesquisa Florestal Brasileira

http://creativecommons.org/licenses/by-nc-nd/4.0