Predicting wood thermal conductivity using artificial neural networks

Wood and Fiber Science

Volumn 37, Issue 4, 2005, Pages 682-690

  Avramidis, Stavros ^a   Iliadis, Lazaros ^b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

Author keywords

Artificial neural networks; Density; Moisture content; Temperature; Thermal conductivity coefficient; Wood

Indexed keywords

DENSITY (SPECIFIC GRAVITY); MOISTURE; NEURAL NETWORKS; STATISTICAL METHODS; TEMPERATURE; THERMAL CONDUCTIVITY;

THERMAL CONDUCTIVITY COEFFICIENT; WOOD THERMAL CONDUCTIVITY;

WOOD;

ARTIFICIAL INTELLIGENCE; BULK DENSITY; MOISTURE CONTENT; STATISTICAL METHODS; TEMPERATURE; THERMAL CONDUCTIVITY; WOOD;

EID: 27844488031     PISSN: 07356161     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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