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Journal of Hydrology and Hydromechanics
(Mar 2012)
Comparison Between Active Learning Method and Support Vector Machine for Runoff Modeling
Shahraiyni Hamid,
Ghafouri Mohammad,
Shouraki Saeed,
Saghafian Bahram,
Nasseri Mohsen
Affiliations
Shahraiyni Hamid
Faculty of Civil and Environmental Engineering, Tarbiat Modares Univ., Tehran, Iran; Mailto
Ghafouri Mohammad
Shahrood University of Technology, Shahrood, Iran; Mailto:
Shouraki Saeed
Department of Electrical Eng., Sharif Univ. of Tech., Tehran, Iran; Mailto
Saghafian Bahram
Soil Conservation & Watershed Management Research Institute, Ministry of Jihad Agriculture, Tehran, Iran; Mailto
Nasseri Mohsen
School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran; Mailto
DOI
https://doi.org/10.2478/v10098-012-0002-7
Journal volume & issue
Vol. 60, no. 1
pp. 16 – 32
Abstract
Read online
No abstracts available.
Keywords
runoff modeling
active learning method (alm)
support vector machine (svm)
fuzzy modeling
genetic algorithm
karoon river basin
modelovanie odtoku
metóda aktívneho učenia (alm)
metóda vektormi podporených strojov (svm)
fuzzy modelovanie
genetický algoritmus
povodie rieky karoon
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