全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Yusuf Erzin , Nurhan Ecemis
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (1), pp.727-736Springer
摘要: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 high-quality field tests, namely piezocone penetration te...
作者:Yusuf Erzin , B. Hanumantha Rao , D.N. Singh
来源:[J].International Journal of Thermal Sciences(IF 2.47), 2007, Vol.47 (10), pp.1347-1358Elsevier
摘要:Abstract(#br)Thermal properties of soils are of great importance in view of the modern trends of utilizing the subsurface for transmission of either heated fluids or high power currents. For these situations, it is essential to estimate the resistance offered by the soil mas...
作者:Yusuf Erzin , B. Hanumantha Rao ...
来源:[J].International Journal of Thermal Sciences(IF 2.47), 2009, Vol.49 (1), pp.118-130Elsevier
摘要:Abstract(#br)The knowledge of soil electrical and thermal resistivities is essential for several engineering projects such as laying of high voltage buried power cables, nuclear waste disposal, design of fluidized thermal beds, ground modification techniques etc. This necess...
作者:Yusuf Erzin , Ibrahim Hatemi ...
来源:[J].Hepatobiliary & Pancreatic Diseases International(IF 1.259), 2014, Vol.13 (2), pp.209-214Elsevier
摘要:Background(#br)Hypertriglyceridemia induces acute recurrent pancreatitis, but its role in the etiology of chronic pancreatitis (CP) is controversial. This study aimed to evaluate the clinical, laboratory and radiological findings of 7 patients with CP due to type 1 hyperlipi...
作者:Yusuf Erzin , T. Oktay Gul
来源:[J].Neural Computing and Applications(IF 1.168), 2014, Vol.24 (3-4), pp.891-900Springer
摘要:Abstract(#br)In this study, artificial neural networks (ANNs) were used to predict the settlement of one-way footings, without a need to perform any manual work such as using tables or charts. To achieve this, a computer programme was developed in the Matlab programming environme...
作者:Yusuf Erzin , Nurhan Ecemis
来源:[J].Bulletin of Engineering Geology and the Environment(IF 0.617), 2015, Vol.74 (1), pp.103-116Springer
摘要:Abstract(#br)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 numerical simulations and cyclic tr...
作者:Yusuf Erzin , D. Turkoz
来源:[J].Neural Computing and Applications(IF 1.168), 2016, Vol.27 (5), pp.1415-1426Springer
摘要:Abstract(#br)This study deals with the development of an artificial neural network (ANN) and a multiple regression (MR) model that can be employed for estimating the California bearing ratio (CBR) value of some Aegean sands. To achieve this, the results of CBR tests performed on ...

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