Design of modified structure multi-layer perceptron networks based on decision trees for the prediction of flow parameters in 90° open-channel bends

Design of modified structure multi-layer perceptron networks based on decision trees for the prediction of flow parameters in 90° open-channel bends

A modified multi-layer perceptron (MLP) model based on decision trees (DT-MLP) is presented to predict velocity and water free-surface profiles in a 90° open-channel bend. The ability of the new hybrid model to predict the velocity and flow depth in a 90° sharp bend is investigated and compared with...

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Bibliographic Details
Main Authors: Azadeh Gholami, Hossein Bonakdari, Amir Hossein Zaji, Salma Ajeel Fenjan, Ali Akbar Akhtari
Format: Article
Language:English
Published: Taylor & Francis Group 2016-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
MLP model
decision trees
depth-averaged velocity
water surface
sharp bend
experimental study
Online Access:http://dx.doi.org/10.1080/19942060.2015.1128358

Internet

http://dx.doi.org/10.1080/19942060.2015.1128358

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