MOE prediction in Abies pinsapo Boiss. timber: Application of an artificial neural network using non-destructive testing
作者： Luis García Esteban , Francisco García Fernández , Paloma de Palacios
DOI: 10.1016/J.COMPSTRUC.2009.08.010
关键词: Nondestructive testing 、 Young's modulus 、 Structural engineering 、 Ultrasonic wave propagation 、 Multilayer perceptron 、 Engineering 、 Artificial neural network 、 Visual grading 、 Artificial intelligence 、 Abies pinsapo
摘要: Determining the modulus of elasticity wood by applying an artificial neural network using physical properties and non-destructive testing can be a useful method in assessments timber structure old constructions. The Abies pinsapo Boiss. was predicted this study through parameters density, width, thickness, moisture content, ultrasonic wave propagation velocity visual grading test pieces. A feedforward multilayer perceptron designed for purpose, achieving 75.0% success or unknown group.
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