Application of Artificial Neural Network, Kriging, and Inverse Distance Weighting Models for Estimation of Scour Depth around Bridge Pier with Bed Sill

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Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124

Website: https://www.scirp.org/journal/jsea
E-mail: jsea@scirp.org

"Application of Artificial Neural Network, Kriging, and Inverse Distance Weighting Models for Estimation of Scour Depth around Bridge Pier with Bed Sill"
written by Homayoon Seyed Rahman, Keshavarzi Alireza, Gazni Reza,
published by Journal of Software Engineering and Applications, Vol.3 No.10, 2010

has been cited by the following article(s):

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[1]	Prediction of scour pattern around hydraulic structures using geostatistical methods Arabian Journal of Geosciences, 2019 DOI:10.1007/s12517-019-4992-x

[2]	Application of an Inverse Distance Weighted Anisotropic Method for Rock Quality Designation distribution in Eastern Kahang deposit, Central Iran Journal of Mining and Metallurgy A: Mining, 2019 DOI:10.5937/JMMA1901001Y

[3]	Using Physical and Soft Computing Models to Evaluate Discharge Coefficient for Combined Weir–Gate Structures Under Free Flow Conditions Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2018 DOI:10.1007/s40996-018-0117-0

[4]	Impact of bed sill shapes on scour protection in river bed and banks International Journal of River Basin Management, 2018 DOI:10.1080/15715124.2018.1498855

[5]	Seismic Vulnerability Analysis of RC Bridges Based on Kriging Model Journal of Earthquake Engineering, 2017 DOI:10.1080/13632469.2017.1323040

[6]	Prediction of equilibrium scour depth in uniform non-cohesive sediments downstream of an apron using computational intelligence European Journal of Environmental and Civil Engineering, 2016 DOI:10.1080/19648189.2016.1179677

[7]	Spatiotemporal Interpolation Methods for the Application of Estimating Population Exposure to Fine Particulate Matter in the Contiguous U.S. and a Real-Time Web Application International Journal of Environmental Research and Public Health, 2016 DOI:10.3390/ijerph13080749

[8]	Comparison between ordinary kriging (OK) and inverse distance weighted (IDW) based on estimation error. Case study: Dardevey iron ore deposit, NE Iran Arabian Journal of Geosciences, 2014 DOI:10.1007/s12517-013-0978-2

[9]	Calibration of initial cable forces in cable-stayed bridge based on Kriging approach Finite Elements in Analysis and Design, 2014 DOI:10.1016/j.finel.2014.08.007

[10]	Fast Inverse Distance Weighting-Based Spatiotemporal Interpolation: A Web-Based Application of Interpolating Daily Fine Particulate Matter PM2:5 in the Contiguous U.S. Using Parallel Programming and k-d Tree International Journal of Environmental Research and Public Health, 2014 DOI:10.3390/ijerph110909101

[11]	Research on Ability Evaluation Model of Compound Talents of Information Technology Based on Artificial Neural Network 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, 2013 DOI:10.1109/IHMSC.2013.111

[12]	Prediction of scouring around an arch-shaped bed sill using Neuro-Fuzzy model Applied Soft Computing, 2012 DOI:10.1016/j.asoc.2011.08.019