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1 Ergebnisse
1
Assessment the Performance of Support Vector Machine and Ar..:
E. Shrifi Garmdareh
;
M. Vafakhah
;
S. Eslamian
http://jstnar.iut.ac.ir/article-1-2977-en.html. , 2019
Link:
https://doaj.org/article/dd539374beb6451d9a46031ccd97c..
RT Journal T1
Assessment the Performance of Support Vector Machine and Artificial Neural Network Systems for Regional Flood Frequency Analysis (A Case Study: Namak Lake Watershed)
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:dd539374beb6451d9a46031ccd97c32f&Exemplar=1&LAN=DE A1 E. Shrifi Garmdareh A1 M. Vafakhah A1 S. Eslamian PB Isfahan University of Technology YR 2019 K1 hydrometric stations K1 return period K1 gamma test K1 support vector machine K1 namak lake watershed K1 Agriculture K1 S K1 Agriculture (General) K1 S1-972 JF http://jstnar.iut.ac.ir/article-1-2977-en.html LK http://dx.doi.org/https://doaj.org/article/dd539374beb6451d9a46031ccd97c32f DO https://doaj.org/article/dd539374beb6451d9a46031ccd97c32f SF ELIB - SuUB Bremen
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