Roghayeh Alsadat Kalantari

[ 1 ] - Inverse modeling of gravity field data due to finite vertical cylinder using modular neural network and least-squares standard deviation method

In this paper, modular neural network (MNN) inversion has been applied for the parameters approximation of the gravity anomaly causative target. The trained neural network is used for estimating the amplitude coefficient and depths to the top and bottom of a finite vertical cylinder source. The results of the applied neural network method are compared with the results of the least-squares stand...