A platform for research: civil engineering, architecture and urbanism
Investigation of deep neural network with drop out for ultrasonic flaw classification in weldments
Investigation of deep neural network with drop out for ultrasonic flaw classification in weldments
Investigation of deep neural network with drop out for ultrasonic flaw classification in weldments
Munir, N. (author) / Kim, H. J. (author) / Song, S. J. (author) / Kang, S. S. (author)
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY ; 32 ; 3073-3080
2018-01-01
8 pages
Article (Journal)
English
DDC:
621
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Ultrasonic Flaw Classification in Weldments Using Probabilistic Neural Networks
British Library Online Contents | 1992
|A Neural Network Model for Ultrasonic Flaw Sizing
British Library Online Contents | 1993
|Configurable ultrasonic flaw classification of oil pipelines
British Library Online Contents | 2008
|Configurable ultrasonic flaw classification of oil pipelines
British Library Online Contents | 2008
|British Library Online Contents | 2000
|