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  • Search: subject:"Linear genetic programming"
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Subject
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Linear genetic programming 3 Gene-expression programming 2 Logistic regression 1 Modeling 1 Neural networks 1 Peak flood discharge 1 Suspended sediment yield 1 Tree structure 1 Ungauged site 1 Wind estimation 1
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Undetermined 3
Type of publication
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Article 3
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Undetermined 3
Author
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Guven, Aytac 2 Alavi, A. 1 Gandomi, A. 1 Kişi, Özgür 1 Seckin, Neslihan 1 Taghipour, A. 1
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Water Resources Management 2 Natural Hazards 1
Source
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RePEc 3
Showing 1 - 3 of 3
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Estimation of Peak Flood Discharges at Ungauged Sites Across Turkey
Seckin, Neslihan; Guven, Aytac - In: Water Resources Management 26 (2012) 9, pp. 2569-2581
-expression programming (GEP) and linear genetic programming (LGP), which are extensions to GP, in addition to logistic regression (LR) were …
Persistent link: https://www.econbiz.de/10010997382
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Estimation of Suspended Sediment Yield in Natural Rivers Using Machine-coded Linear Genetic Programming
Guven, Aytac; Kişi, Özgür - In: Water Resources Management 25 (2011) 2, pp. 691-704
genetic programming (LGP) in daily suspended sediment estimation. The accuracy of LGP is compared with those of the Gene … estimating sediment yield but they still lack accuracy and robustness. This paper investigates the use of a machine-coded linear …
Persistent link: https://www.econbiz.de/10010997708
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Discussion on “Alternative data-driven methods to estimate wind from waves by inverse modeling” by Mansi Daga, M. C. Deo [Natural Hazards (2008) NHAZ 524, Article 9299, DOI 10.1007/s11069-008-9299-2]
Gandomi, A.; Alavi, A.; Taghipour, A. - In: Natural Hazards 52 (2010) 3, pp. 671-673
The paper studied by Daga and Deo (2008) considers the feasibility of using genetic programming (GP) for estimating wind from waves by inverse modeling. The paper includes some problems about the fundamental aspects and use of the proposed GP approach for the aim of their study. In this...
Persistent link: https://www.econbiz.de/10010996140
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