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Artificial neural networks for estimating daily total suspended sediment in natural streams 

Tayfur, Gökmen; Güldal, Veysel (IWA Publishing, 2006)
Estimates of sediment loads in natural streams are required for a wide spectrum of water resources engineering problems from optimal reservoir design to water quality in lakes. Suspended sediment constitutes 75-95% of the ...
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Kinematic wave model of bed profiles in alluvial channels 

Tayfur, Gökmen; Singh, Vijay P. (American Geophysical Union, 2006-06)
A mathematical model, based on the kinematic wave (KW) theory, is developed for describing the evolution and movement of bed profiles in alluvial channels. The model employs a functional relation between sediment transport ...
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Experimental and modeling study of strength of high strength concrete containing binary and ternary binders 

Erdem, Tahir Kemal; Tayfur, Gökmen; Kırca, Önder (STOWARZYSZENIE PRODUCENTOW CEMENTU, 2011)
Silica fume (SF), fl y ash (FA) and ground granulated blastfurnace slag (S) are among the most widely utilized mineral additions for normal strength concrete (NSC) and high strength concrete (HSC). High Reactivity Metakaolin ...
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The use of GA-ANNs in the modelling of compressive strength of cement mortar 

Akkurt, Sedat; Özdemir, Serhan; Tayfur, Gökmen; Akyol, Burak (Elsevier, 2003-07)
In this paper, results of a project aimed at modelling the compressive strength of cement mortar under standard curing conditions are reported. Plant data were collected for 6 months for the chemical and physical properties ...
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Forecasting ambient air SO2 concentrations using artificial neural networks 

Sofuoğlu, Sait Cemil; Sofuoğlu, Aysun; Birgili, Savaş; Tayfur, Gökmen (Taylor & Francis, 2006-07)
An Artificial Neural Networks (ANNs) model is constructed to forecast SO 2 concentrations in Izmir air. The model uses meteorological variables (wind speed and temperature) and measured particulate matter concentrations ...
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Flood hydrograph prediction using machine learning methods 

Tayfur, Gökmen; Singh, Vijay P.; Moramarco, Tommaso; Barbetta, Silvia (MDPI, 2018-07)
Machine learning (soft) methods have a wide range of applications in many disciplines, including hydrology. The first application of these methods in hydrology started in the 1990s and have since been extensively employed. ...
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Modeling deficit irrigation in alfalfa production 

Tayfur, Gökmen; Tanji, Kenneth K.; House, Brett; Robinson, Frank; Teuber, Larry; Kruse, Gordon (American Society of Civil Engineers, 1995-11)
A conceptual agronomic model EPIC was extended to consider the effects of salinity in alfalfa production under optimal and water stress irrigation conditions. The extended model was calibrated and validated with observed ...
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Two-dimensional finite elements model for boron management in agroforestry sites 

Tayfur, Gökmen; Tanji, Kenneth K.; Baba, Alper (Springer, 2010-01)
Agroforesty systems, which are recommended as a management option to lower the shallow groundwater level and to reuse saline subsurface drainage waters from the tile-drained croplands in the drainage-impacted areas of Jan ...
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Kinematic wave theory for transient bed sediment waves in alluvial rivers 

Singh, Vijay P.; Tayfur, Gökmen (American Society of Civil Engineers, 2008-05)
Transient bed sediment waves in alluvial rivers have been described using a multitude of hydraulic formulations. These formulations are based on some form of the St. Venant equations and conservation of mass of sediment ...
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Trait-based heterogeneous populations plus (TbHP+) genetic algorithm 

Tayfur, Gökmen; Sevil, Hakkı Erhan; Gezgin, Erkin; Özdemir, Serhan (Elsevier, 2009-02)
This study developed a variant of genetic algorithm (GA) model called the trait-based heterogeneous populations plus (TbHP+). The developed TbHP+ model employs a memory concept in the form of immunity and instinct to provide ...
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Tayfur, Gökmen (66)
Singh, Vijay P. (12)Baba, Alper (7)Moramarco, Tommaso (6)Elçi, Şebnem (5)Bombar, Gökçen (3)Tanji, Kenneth K. (3)Özdemir, Serhan (3)Akkurt, Sedat (2)Aksoy, Hafzullah (2)... View MoreSubjectArtificial neural networks (11)Sediment transport (7)Genetic algorithms (6)Fuzzy logic (5)Compressive strength (4)Erosion (4)Regression analysis (4)Rivers (4)Artificial neural network (3)Diffusion wave (3)... View MorePublication Typearticle (66)Language
eng (66)
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Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı (66)
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info:eu-repo/semantics/openAccess (66)
Date Issued2010 - 2019 (40)2000 - 2009 (24)1995 - 1999 (2)Full TextYes (66)

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