Title of article
MOE prediction in Abies pinsapo Boiss. timber: Application of an artificial neural network using non-destructive testing
Author/Authors
Luis Garc?a Esteban، نويسنده , , Francisco Garc?a Fern?ndez، نويسنده , , Paloma de Palacios، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2009
Pages
6
From page
1360
To page
1365
Abstract
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.
Keywords
Abies pinsapo , ANN , Ultrasound , Artificial neural network , MOE
Journal title
Computers and Structures
Serial Year
2009
Journal title
Computers and Structures
Record number
1210527
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