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

Abstract

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).

Keywords

• neural network evaluation
• the volume of the defect
• growth area
• sounding pulse