Missing river discharge data imputation approach using artificial neural network

The issue with missing data in hydrological models are very common and it occurs when no data value was stored during observation. In modelling, the missing data can affect the conclusion that can be drawn from the dataset. This paper presents the study on Levenberg-Marquadt back propagation algorit...

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Veröffentlicht in:	ARPN journal of engineering and applied sciences 2015-12, Vol.10 (22)
Hauptverfasser:	Mispan, M R, Rahman, N F A, Ali, M F, Khalid, K, Bakar, M H A, Haron, S H
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Back propagation algorithms Learning theory Mathematical models Missing data Neural networks River basins Water runoff
Online-Zugang:	Volltext
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