Effect of missing data on performance of learning algorithms for hydrologic predictions: Implications to an imputation technique

Water Resources Research

Volumn 43, Issue 7, 2007, Pages

  Gill, M Kashif ^a,b   Asefa, Tirusew ^c   Kaheil, Yasir ^a   McKee, Mac ^a  

^a Utah State University   (United States)

^b PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^c Source Rotation and Environmental Protection Department   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

FORECASTING ACCURACY; IMPUTATION METHODOLOGY;

HYDROLOGY;

HYDROLOGY; LEARNING ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; DATA; FORECASTING METHOD; HYDROLOGICAL MODELING; PREDICTION;

EID: 36649000728     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2006WR005298     Document Type: Article

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