Classification of wood species by neural network analysis of ultrasonic signals

Ultrasonics

Volumn 36, Issue 1-5, 1998, Pages 219-222

  Jordan, R ^a   Feeney, F ^a   Nesbitt, N ^a   Evertsen, J A ^b  

^a Ireland   (Ireland)

^b Forest Products Department   (Ireland)

Author keywords

Anisotropic materials; Classification; Materials characterization; Neural network analysis; Wood

Indexed keywords

NEURAL NETWORKS; ULTRASONIC TRANSMISSION; WOOD;

ANISOTROPIC MATERIALS;

ULTRASONIC WAVES;

EID: 0031995081     PISSN: 0041624X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0041-624X(97)00148-0     Document Type: Article

References (9)

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5. V. Bucur, I. Bohnke, Factors affecting ultrasonic measurements in solid wood, Ultrasonics 32 (5) (1994) 385.
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9. D. Hughes, J.G. Keating, F.E. Feeney, J.A. Evertsen, Estimating the quality of timber using artificial neural networks, in: J.G. Keating (Ed.), Neural Computing Research and Applications III, St. Patrick's College Maynooth, Co. Kildare, Ireland, 1995, p. 171.