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Salmasi, Farzin, Yıldırım, Gürol, Masoodi, Azam, Parsamehr, Parastoo (2013) Predicting discharge coefficient of compound broad-crested weir by using genetic programming (GP) and artificial neural network (ANN) techniques. Arabian Journal of Geosciences, 6 (7) 2709-2717 doi:10.1007/s12517-012-0540-7

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Reference TypeJournal (article/letter/editorial)
TitlePredicting discharge coefficient of compound broad-crested weir by using genetic programming (GP) and artificial neural network (ANN) techniques
JournalArabian Journal of Geosciences
AuthorsSalmasi, FarzinAuthor
Yıldırım, GürolAuthor
Masoodi, AzamAuthor
Parsamehr, ParastooAuthor
Year2013 (July)Volume6
Issue7
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s12517-012-0540-7Search in ResearchGate
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Mindat Ref. ID955216Long-form Identifiermindat:1:5:955216:0
GUID0
Full ReferenceSalmasi, Farzin, Yıldırım, Gürol, Masoodi, Azam, Parsamehr, Parastoo (2013) Predicting discharge coefficient of compound broad-crested weir by using genetic programming (GP) and artificial neural network (ANN) techniques. Arabian Journal of Geosciences, 6 (7) 2709-2717 doi:10.1007/s12517-012-0540-7
Plain TextSalmasi, Farzin, Yıldırım, Gürol, Masoodi, Azam, Parsamehr, Parastoo (2013) Predicting discharge coefficient of compound broad-crested weir by using genetic programming (GP) and artificial neural network (ANN) techniques. Arabian Journal of Geosciences, 6 (7) 2709-2717 doi:10.1007/s12517-012-0540-7
In(2013, July) Arabian Journal of Geosciences Vol. 6 (7) Springer Science and Business Media LLC

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