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

The process involved in the local scour below pipelines is so complex as to make it difficult to establish a general empirical model to provide an accurate estimation for scour. This paper describes the use of an adaptive neuro-fuzzy inference system (ANFIS) and a Gamma Test (GT) to estimate the sub...

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Veröffentlicht in:	Journal of water resource and protection 2014-04, Vol.6 (5), p.514-514
Hauptverfasser:	Niknia, Naser, Moghaddam, Hossein Kardan, Banaei, S M, Podeh, Hassan Torabi, Omidinasab, Fereydoon, Yazdi, Azam Arabi
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive systems Artificial neural networks Fuzzy logic Mathematical models Networks Pipelines Regression Trains
Online-Zugang:	Volltext
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