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Physical geography / Planetary science / Fluid mechanics / Hydrology / Hydraulic engineering / Bridge scour / Scour / Sediment transport / Stream bed / Earth / Geology / Environmental engineering


& IWA Publishing 2011 Journal of Hydroinformatics812 Prediction of local scour depth at bridge piers under clear-water and live-bed conditions: comparison of
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Document Date: 2011-06-27 13:22:30

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File Size: 393,45 KB

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City

Delft / Melville / /

Company

IWA Publishing / Artificial Neural Networks / Coleman / /

Country

United States / Netherlands / Italy / Serbia / New Zealand / /

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Facility

Colorado State University / laboratory Table / University of Bologna / PNval i¼1 Laboratory / Laboratory LB Figure / /

IndustryTerm

real-world applications / pier site / flow attack feedforward networks / neural network / multi-layer feedforward networks / soft computing techniques / mean particle diameter equipment / gradient descent algorithm / neural networks / stable solution / feedforward networks / /

Organization

Institute for Water Education / i¼1 Laboratory / Colorado State University / Federal Highway Administration / University of Bologna / United Nations Educational Scientific and Cultural Organization / /

Person

Westvest / /

Position

representative / corresponding author / /

Product

MATLABs Neural Network Toolbox / Nikon D50 Digital Camera / /

ProgrammingLanguage

FL / /

Technology

Marquardt BackPropagation algorithm / Neural Network / training algorithm / gradient descent algorithm / /

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