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Wood-water sorption isotherm prediction with artificial neural networks: A preliminary study

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Veröffentlicht/Copyright: 5. Juli 2005
Holzforschung
Aus der Zeitschrift Band 59 Heft 3

Abstract

This is a preliminary study that proposes an original prototype artificial neural network to be used in addition to the two classic sorption isotherm modeling methods, Hailwood-Horrobin (HH) and Guggenheim-Anderson-deBoer (GAB), in predicting the equilibrium moisture content in wood at three different temperatures (30, 45 and 60°C) for softwood (lodgepole pine) sapwood and heartwood specimens. Contrary to the HH and GAB equations, which use physical data for modeling, the predictive power of the artificial neural network is based on both physical and chemical data for the specific wood types. The results prove the potential efficient use of neural networks in predicting moisture content based not only on the ambient conditions, but also on taking into consideration the chemical composition of wood.

Keywords: artificial neural networks; chemical composition; Guggenheim-Anderson-deBoer (GAB) model; Hailwood-Horrobin (HH) model; sorption; water; wood
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Corresponding author. University of British Columbia, Department of Wood Sicence, Vancouver, BC, V6T 1Z4, Canada E-mail:

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Published Online: 2005-07-05
Published in Print: 2005-05-01

© by Walter de Gruyter Berlin New York

Artikel in diesem Heft

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https://doi.org/10.1515/HF.2005.055
Schlagwörter für diesen Artikel
artificial neural networks; chemical composition; Guggenheim-Anderson-deBoer (GAB) model; Hailwood-Horrobin (HH) model; sorption; water; wood

Artikel in diesem Heft

  1. Molecular dynamics study of lignin constituents in water
  2. Oxidative cellulose degradation by cellobiose dehydrogenase from Phanerochaete chrysosporium: A model compound study
  3. Characterization of active oxygen species under oxygen-alkali bleaching conditions
  4. Erythro/threo ratio of β-O-4-5 structures as an important structural characteristic of lignin. Part 4: Variation in the erythro/threo ratio in softwood and hardwood lignins and its relation to syringyl/guaiacyl ratio
  5. Stereoisomers of 3,3′-dimethoxy-4,4′-stilbenequinone
  6. Liquefaction of CCA-treated wood and elimination of metals from the solvent by precipitation
  7. Condensed tannins from steamed Acacia mearnsii bark
  8. Chemical composition and antifungal activity of essential oil isolated from Chamaecyparis formosensis Matsum. wood
  9. Direct measurement of strain distribution along a wood bond line. Part 1: Shear strain concentration in a lap joint specimen by means of electronic speckle pattern interferometry
  10. Direct measurement of strain distribution along a wood bond line. Part 2: Effects of adhesive penetration on strain distribution
  11. Rate-independent mechanical behavior of biaxially stressed wood: Experimental observations and constitutive modeling as an orthotropic two-surface elasto-plastic material
  12. Characterization of sugar maple wood-polymer composites: Monomer retention and polymer retention
  13. New insights into wood and cement interaction
  14. Wood-water sorption isotherm prediction with artificial neural networks: A preliminary study
  15. Hygroscopicity of resorcinol-formaldehyde resin and aqueous vinyl polymer-isocyanate resin in high humidity
  16. Modelling anisotropic maturation strains in wood in relation to fibre boundary conditions, microstructure and maturation kinetics
  17. Properties of chemically and mechanically isolated fibres of spruce (Picea abies [L.] Karst.). Part 3: Mechanical characterisation
  18. Resistance of thermo-hygro-mechanically densified wood to colonisation and degradation by brown-rot fungi
  19. Microbial colonizers of freshly sawn yellow-poplar (Liriodendron tulipifera L.) lumber in two seasons. Part 3: Yeasts
  20. Efficacy of a copper(II)/oxine copper wood preservative mixture after 69 months of outdoor ground-contact exposure and a proposed mechanism to explain the observed synergism
  21. Differentiation of indoor wood decay fungi with MALDI-TOF mass spectrometry
  22. Horst H. Nimz celebrates his 75th birthday on April, 21st, 2005
  23. Erratum
Heruntergeladen am 12.4.2026 von https://www.degruyterbrill.com/document/doi/10.1515/HF.2005.055/html
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