Predicting subsurface soil layering and landslide risk with Artificial Neural Networks: a case study from Iran
نویسندگان
چکیده
منابع مشابه
Geoid Determination Based on Log Sigmoid Function of Artificial Neural Networks: (A case Study: Iran)
A Back Propagation Artificial Neural Network (BPANN) is a well-known learning algorithmpredicated on a gradient descent method that minimizes the square error involving the networkoutput and the goal of output values. In this study, 261 GPS/Leveling and 8869 gravity intensityvalues of Iran were selected, then the geoid with three methods “ellipsoidal stokes integral”,“BPANN”, and “collocation” ...
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ژورنال
عنوان ژورنال: Geologica Carpathica
سال: 2011
ISSN: 1336-8052,1335-0552
DOI: 10.2478/v10096-011-0034-7