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- W2181390981 abstract "The main goal of this specific study is to reveal the benefits from the use of the ANN in geotechnical engineering by focusing on the elaboration of data coming from real field measurements concerning ground movements due to tunnelling. Moreover, the Back Propagation algorithm is used so as to reveal the hierarchy of each of the parameters mainly affecting the total amount of the induced settlements due to tunnelling. The short review of our experience in applying ANN’s in Geotechnical Engineering is succeeded by the main accomplishments of this study. The provided information, originally published by Attewell, concerns tunnel size and depth, maximum settlement, settlement trough width, volume and slope, ground description, geological properties and excavation method." @default.
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- W2181390981 date "2007-01-01" @default.
- W2181390981 modified "2023-09-27" @default.
- W2181390981 title "Use of Artificial Neural Networks for the Prediction of Tunnelling - Induced Ground Movements in Urban Areas" @default.
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