THE NEURAL NETWORK ESTIMATION OF THE VOLUME OF THE DEFECT IN THE GROWTH AREA OF SOUNDING PULSE
The neural networks with associative memory have been proposed to estimate the size of surface solidness defect of current-conducting material (article) with the help of the increases of electromagnetic probing impulse area (average amplitude).
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Dnipro National University of Railway Transport named after Academician V. Lazaryan
2009-04-01
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Series: | Nauka ta progres transportu |
Subjects: | |
Online Access: | http://stp.diit.edu.ua/article/view/14093/11906 |