Performance investigation of the dam intake physical hydraulic model using Support Vector Machine with a discrete wavelet transform algorithm
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @Article{GHAZVINEI:2017:CEA,
-
author = "Pezhman Taherei Ghazvinei and
Shahaboddin Shamshirband and Shervin Motamedi and
Hossein Hassanpour Darvishi and Ely Salwana",
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title = "Performance investigation of the dam intake physical
hydraulic model using Support Vector Machine with a
discrete wavelet transform algorithm",
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journal = "Computers and Electronics in Agriculture",
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volume = "140",
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pages = "48--57",
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year = "2017",
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keywords = "genetic algorithms, genetic programming, Head loss,
Dam Intake structure, Support Vector Machine, Wavelet
algorithm, Hydraulic performance",
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ISSN = "0168-1699",
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DOI = "doi:10.1016/j.compag.2017.05.033",
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URL = "http://www.sciencedirect.com/science/article/pii/S0168169917306737",
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abstract = "In the present study hydraulic scaled model was
conducted to evaluate an intake structure and checking
its safety hydraulic performance. An investigation on
the structural and mechanical equipment performance was
performed by testing a scaled model to determine
discharge capacity and head losses. In addition, the
novel method established on Support Vector Machines
(SVM) coupled through discrete wavelet transform was
designed and adapted to estimate head loss at inlet and
outlet section of the horizontal intake structure.
Estimation and prediction results of SVM-WAVELET model
was compared with genetic programming (GP) and
artificial neural networks (ANNs) models. The model
test results of SVM WAVELET approach reveal more
accuracy in prediction and also attain improved
generalization capabilities than GP and ANN.
Furthermore, results specified that advanced
SVM-WAVELET model can be applied confidently for
auxiliary research to formulate predictive model for
head loss at inlet and outlet section. Consequently, it
was found that using of SVM-WAVELET is principally
encouraging as an alternate strategy to predict the
head loss as a representative of inner pressure head at
intake structure",
-
keywords = "genetic algorithms, genetic programming, Head loss,
Dam Intake structure, Support Vector Machine, Wavelet
algorithm, Hydraulic performance",
- }
Genetic Programming entries for
Pezhman Taherei Ghazvinei
Shahaboddin Shamshirband
Shervin Motamedi
Hossein Hassanpour Darvishi
Ely Salwana
Citations