The use of neural networks in ultrasonic flaw detection

Author:

Margrave F.W.,Rigas K.,Bradley D.A.,Barrowcliffe P.

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference22 articles.

1. Future computer aids for manual ultrasonic operators;Carter;NDT International,1991

2. AI techniques applied to the classification of welding defects from automated NDT data;McNab;Br. J. Non-Destructive Testing,1991

3. A review of Artificial Intelligence applied to ultrasonic defect evaluation;McNab;Insight,1991

4. A physical approach to the automated ultrasonic characterisation of buried defects in ferritic steel;Burch;NDT International,1986

5. The classification of defects from ultrasonic data using neural networks: the Hopfield method;Baker;NDT International,1989

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