Investigation of Local Scour Factors under Pipelines Using Artificial Neural Network Algorithms
Occurrence of local scour is one of the most significant causes of damage to the pipes. Therefore, safe and economical design of pipes in the flow path requires a good estimate. In this study, based on the important and effective parameters in the scouring phenomenon, in order to develop educational...
Main Authors: | M. Pourmirza, A. Kamanbedast |
---|---|
Format: | Article |
Language: | fas |
Published: |
Isfahan University of Technology
2019-12-01
|
Series: | علوم آب و خاک |
Subjects: | |
Online Access: | http://jstnar.iut.ac.ir/article-1-3560-en.html |
Similar Items
-
A New Method for Diagnosis and Predicting Blood Disorder and Cancer Using Artificial Intelligence (Artificial Neural Networks)
by: Mehrdad Payandeh, et al.
Published: (2009-12-01) -
A New Method for Diagnosis and Predicting Blood Disorder and Cancer Using Artificial Intelligence (Artificial Neural Networks)
by: Mehrdad Payandeh, et al.
Published: (2009-10-01) -
Neural Modeling and Optimization of a Mechanical-chemical Treatment Applied for Some Industrial Effluents. A Roumanian Case Study
by: Rodica Mariana Diaconescu, et al.
Published: (2017-12-01) -
Artificial neural networks modeling gene-environment interaction
by: Günther Frauke, et al.
Published: (2012-05-01) -
Design of a new hybrid artificial neural network method based on decision trees for calculating the Froude number in rigid rectangular channels
by: Ebtehaj Isa, et al.
Published: (2016-09-01)