1887

Abstract

The method of Artificial Neural Network is used as a suitable tool for intelligent interpretation of gravity data in this paper. We have designed a Hopfield Neural Network to estimate the gravity source depth. The designed network was tested by both synthetic and real data. As a real data, this Artificial Neural Network was used to estimate the depth of a Qanat located in north entrance of institute of geophysics and the result was very near to the real value of depth.

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/content/papers/10.3997/2214-4609.20146872
2008-04-07
2020-04-09
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20146872
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