The classification of defects from ultrasonic data using neural networks: The Hopfield method-Reference-Cited by-同舟云学术

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The classification of defects from ultrasonic data using neural networks: The Hopfield method

Published:1989-04 Issue:2 Volume:22 Page:97-105
ISSN:0308-9126
Container-title:NDT International
language:en
Short-container-title:NDT International

Author:

Baker A.R.,Windsor C.G.

Publisher

Elsevier BV

Subject

General Engineering

Reference7 articles.

1. Neural networks and physical systems with emergent collective computational abilities;Hopfield,1982

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

3. Recalling memories;Windsor;Phys Bull,1988

4. Storing Infinite Numbers of Patterns in a Spin-Glass Model of Neural Networks

5. Development in ultrasonic techniques in the United Kingdom;Farley;Nucl Energy,1983

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