"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] 미시추 구간의 지반 층상정보 예측을 위한 정규 크리깅 및 인공신경망 기법의 비교
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[3] Using Physical and Soft Computing Models to Evaluate Discharge Coefficient for Combined Weir–Gate Structures Under Free Flow Conditions
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[6] 基于 Kriging 模型的桥梁结构易损性分析
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[7] Application of an inverse distance weighted anisotropic method (IDWAM) to estimate elemental distribution in Eastern Kahang Cu-Mo porphyry deposit, Central Iran
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[8] Spatiotemporal Interpolation Methods for the Application of Estimating Population Exposure to Fine Particulate Matter in the Contiguous US and a Real-Time …
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[9] Application of an inverse distance weighted anisotropic method (IDWAM) to estimate elemental distribution in Eastern Kahang Cu-Mo porphyry deposit, Central …
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[10] 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
[11] Spatiotemporal interpolation methods for the application of estimating population exposure to fine particulate matter in the contiguous US and a real-time web …
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[12] Data-driven Modelling in River Channel Evolution Rese Artificial Neural Networks Applications
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[13] Data-driven Modelling in River Channel Evolution Research: Review of Artificial Neural Networks Applications
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[14] Data-driven Modeling in River Channel Evolution Research: Review of Artificial Neural Networks Applications
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[15] Determination of an Ultimate Pit Limit Utilising Fractal Modelling to Optimise NPV
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[16] 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
[17] Calibration of initial cable forces in cable-stayed bridge based on Kriging approach
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[18] Fast Inverse Distance Weighting-Based Spatiotemporal Interpolation: A Web-Based Application of Interpolating Daily Fine Particulate Matter PM2. 5 in the Contiguous US Using Parallel Programming and kd Tree
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[19] Research on Ability Evaluation Model of Compound Talents of Information Technology Based on Artificial Neural Network
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on. Vol. 1. IEEE, 2013
[20] Prediction of scouring around an arch-shaped bed sill using Neuro-Fuzzy model
Applied Soft Computing, 2012
[21] Artificial intelligence in civil engineering
Mathematical Problems in Engineering, 2012
[22] Analysis of experimental data sets for local scour depth around bridge abutments using artificial neural networks
Water Sa, 2011