Application of Gamma Test and Neuro-Fuzzy Models in Uncertainty Analysis for Prediction of Pipeline Scouring Depth

ISSN Print: 1945-3094
ISSN Online: 1945-3108
www.scirp.net/Journal/jwarp
E-mail: [email protected]

Citations

"Application of Gamma Test and Neuro-Fuzzy Models in Uncertainty Analysis for Prediction of Pipeline Scouring Depth"
written by Naser Niknia, Hossein Kardan Moghaddam, S. M. Banaei, Hassan Torabi Podeh, Fereydoon Omidinasab, Azam Arabi Yazdi,
published by Journal of Water Resource and Protection, Vol.6 No.5, 2014

has been cited by the following article(s):

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[1]	Performance assessment of rainfall forecasting models for urban Guwahati City using machine learning techniques and singular spectrum analysis Journal of Water and Climate Change, 2024 DOI:10.2166/wcc.2024.465

[2]	Estimating the Hydraulic Conductivity of jointed rock mass using Genetic Programming IOP Conference Series: Earth and Environmental Science, 2023 DOI:10.1088/1755-1315/1124/1/012001

[3]	Applicability of machine learning techniques for multi-time step ahead runoff forecasting Acta Geophysica, 2022 DOI:10.1007/s11600-022-00749-z

[4]	Predicting BOD under Various Hydrological Conditions in the Dongjin River Basin Using Physics-Based and Data-Driven Models Water, 2021 DOI:10.3390/w13101383

[5]	Real-Time Flood Disaster Prediction System by Applying Machine Learning Technique KSCE Journal of Civil Engineering, 2020 DOI:10.1007/s12205-020-1677-7

[6]	Uncertainty Analysis of Rainfall Scenarios for the Prediction of Flood Disasters in Urban Areas Journal of the Korean Society of Hazard Mitigation, 2019 DOI:10.9798/KOSHAM.2019.19.2.255