期刊
COMPUTERS & STRUCTURES
卷 87, 期 21-22, 页码 1360-1365出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2009.08.010
关键词
Abies pinsapo; ANN; MOE; Artificial neural network; Ultrasound
资金
- Spanish Ministry of Education and Science
- European Regional Development Fund (ERDF)
Determining the modulus of elasticity of wood by applying an artificial neural network using the physical properties and non-destructive testing can be a useful method in assessments of the timber structure in old constructions. The modulus of elasticity of Abies pinsapo Boiss. timber was predicted in this study through the parameters of density, width, thickness, moisture content, ultrasonic wave propagation velocity and visual grading of the test pieces. A feedforward multilayer perceptron network was designed for this purpose, achieving 75.0% success in the testing or unknown group. (C) 2009 Elsevier Ltd. All rights reserved.
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