Detection of subsurface Qanats by Multi Layer Perceptron Neural Network via Microgravity data

A full automatic algorithm is designed to detect subsurface Qanats via Artificial Neural Networks .We first gained the residual gravity anomaly from microgravity data and then applied to a Multi Layer Perceptron (MLP) which was trained for the models of sphere and cylinder. As a field example, the depth of a subsurface Qanat buried in north entrance of geophysics institute is determined through MLP (trained with noisy data).