Improving the performance of multi-layer perceptron and radial basis function models with a decision tree model to predict flow variables in a sharp 90° bend-Reference-Cited by-同舟云学术

Improving the performance of multi-layer perceptron and radial basis function models with a decision tree model to predict flow variables in a sharp 90° bend

Published:2016-11 Issue: Volume:48 Page:563-583
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Gholami Azadeh,Bonakdari Hossein,Zaji Amir Hossein,Michelson David G.,Akhtari Ali Akbar

Publisher

Elsevier BV

Subject

Software

Reference75 articles.

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4. Flow and bathymetry in sharp open-channel bends: experiments and predictions;Zeng;Water Resour. Res.,2008

5. Calculation of strongly curved open channel flow;Leschziner;J. Hydraul. Div.,1979

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