Flow estimations for the Sohu Stream using artificial neural networks

Author:

Sattari M. Taghi,Apaydin Halit,Ozturk Fazli

Publisher

Springer Science and Business Media LLC

Subject

Earth-Surface Processes,Geology,Pollution,Soil Science,Water Science and Technology,Environmental Chemistry,Global and Planetary Change

Reference56 articles.

1. Alp M, Cigizoglu HK (2004) Modelling of rainfall–runoff relation with different ANN methods. ITU Dergisi/d Muhendislik 3(1):80–88 (in Turkish)

2. Anctil F, Perrin C, Andreassian V (2004) Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall–runoff forecasting models. J Environ Models Softw 19:357–368

3. Apaydin H, Ozturk F (2008) Modelling short-term flow estimations for the Sohu Stream via artificial neural networks. TUBITAK Research (107O911) Report, Ankara (in Turkish)

4. Apaydın H, Ozturk F (2003) Application of runoff and sediment yield models by geographic information system. J Agric Sci 9(4):381–389

5. Apaydin H, Sonmez FK, Yildirim YE (2004) Spatial interpolation techniques for climate data in the GAP region in Turkey. Clim Res 28:31–40

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