River Flow Forecasting Using Neural Networks and Auto-Calibrated NAM Model with Shuffled Complex Evolution

River flow forecasting is required to provide important information on a wide range of cases related to design and operation of river systems. Since there are a lot of parameters with uncertainties and non-linear relationships, the calibration of conceptual or physically-based models is often a diff...

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Veröffentlicht in:	Journal of applied sciences (Asian Network for Scientific Information) 2008-04, Vol.8 (8), p.1487-1494
Hauptverfasser:	Zakermoshf, M., Ghodsian, M., Salehi Nei, S.A.A., Shakiba, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Freshwater
Online-Zugang:	Volltext
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