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The use of neural networks for the prediction of cone penetration resistance of silty sands 

Erzin, Yusuf; Ecemiş, Nurhan (Springer, 2017-12)
In this study, an artificial neural network (ANN) model was developed to predict the cone penetration resistance of silty sands. To achieve this, the data sets reported by Ecemis and Karaman, including the results of three ...
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The use of neural networks for CPT-based liquefaction screening 

Erzin, Yusuf; Ecemiş, Nurhan (Springer, 2014)
This study deals with development of two different artificial neural network (ANN) models: one for predicting cone penetration resistance and the other for predicting liquefaction resistance. For this purpose, cone penetration ...



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AuthorEcemiş, Nurhan (2)
Erzin, Yusuf (2)
Subject
Artificial neural networks (2)
Cone penetration resistance (2)Horizontal coefficient of consolidation (1)Liquefaction resistance (1)Ottowa sand (1)Silty sand (1)... View MorePublication Typearticle (2)Languageeng (2)Publication Category
Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı (2)
Access Typeinfo:eu-repo/semantics/openAccess (2)Date Issued2014 (1)2017 (1)Full TextYes (2)

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