Investigation of discharge coefficient of trapezoidal labyrinth weirs using artificial neural networks and support vector machines

Investigation of discharge coefficient of trapezoidal labyrinth weirs using artificial neural networks and support vector machines

Abstract Weirs are a commonly used system to adjust water surface level and to control the flow in canals and hydraulic structures. Labyrinth weirs are a type of weirs that can pass through a certain amount of flow which has a lower upstream water level than the linear weirs, by increasing the effec...

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Bibliographic Details
Main Authors: Reza Norouzi, Rasoul Daneshfaraz, Amir Ghaderi
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:Applied Water Science
Subjects:
Discharge coefficient
Labyrinth weirs
Multilayer perceptron network
Radial basis function network
Support vector machines
Online Access:http://link.springer.com/article/10.1007/s13201-019-1026-5

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http://link.springer.com/article/10.1007/s13201-019-1026-5

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