1887

Abstract

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).

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/content/papers/10.3997/2214-4609.20146875
2008-04-07
2020-10-19
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20146875
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