ESTIMATION OF THICKNESS OF SUBSURFACE AIR LAYER BY NEURON NETWORK TECHNOLOGY APPLICATION TO REFLECTED MICROWAVE SIGNAL

摘要

Neuron network technology application to subsurface air layer thickness estimation is considered. The envelope of time-domain signal was used as input data. The three-layered neuron network with backpropagation and sigmoid (S-shaped) activation function of neurons was chosen. The comparison with results of correlation method is presented.