THE NEURAL NETWORK ESTIMATION OF THE VOLUME OF THE DEFECT IN THE GROWTH AREA OF SOUNDING PULSE

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).

Bibliographic Details
Main Authors: V. O. Pashchenko, N. O. Matvieieva
Format: Article
Language:English
Published: Dnipro National University of Railway Transport named after Academician V. Lazaryan 2009-04-01
Series:Nauka ta progres transportu
Subjects:
neural network evaluation
the volume of the defect
growth area
sounding pulse
Online Access:http://stp.diit.edu.ua/article/view/14093/11906

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