Prediction of the physical, mechanical and colorimetric properties of Eucalyptus grandis heat-treated wood using artificial neural networks-Reference-Cited by-同舟云学术

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Prediction of the physical, mechanical and colorimetric properties of Eucalyptus grandis heat-treated wood using artificial neural networks

Published:2017-03-01 Issue:113 Volume:45 Page:
ISSN:2318-1222
Container-title:Scientia Forestalis
language:
Short-container-title:Sci. For.

Author:

Zanuncio Antonio Jose Vinha,Carvalho Amélia Guimarães,Silva Liniker Fernandes da,Silva Marcela Gomes da,Carneiro Angelica de Cassia Oliveira,Colodette Jorge Luiz

Publisher

Instituto de Pesquisa e Estudos Florestais (IPEF)

Subject

Forestry

Link

https://www.ipef.br/publicacoes/scientia/nr113/cap10.pdf

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ARTIFICIAL INTELLIGENCE AND COLORIMETRY AS A COMBINED NON-DESTRUCTIVE METHOD TO PREDICT PROPERTIES OF HEAT-TREATED WOOD;Cellulose Chemistry and Technology;2022-11-29

2. Prediction of water absorption and swelling of thermally modified fir wood by artificial neural network models;European Journal of Wood and Wood Products;2022-06-04

3. Production of high-quality forest wood biomass using artificial intelligence to control thermal modification;Biomass Conversion and Biorefinery;2022-04-26

4. Regression and ANN models for predicting MOR and MOE of heat-treated fir wood;Journal of Building Engineering;2021-10

5. Artificial Neural Networks To Distinguish Charcoal from Eucalyptus and Native Forests Based on Their Mineral Components;Energy & Fuels;2020-07-21

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