Wavelet-entropy data pre-processing approach for ANN-based groundwater level modeling

Journal of Hydrology

Volumn 524, Issue , 2015, Pages 255-269

  Nourani, Vahid ^a   Alami, Mohammad Taghi ^a   Vousoughi, Farnaz Daneshvar ^a  

^a UNIVERSITY OF TABRIZ   (Iran)

Author keywords

Ardabil plain; Artificial Neural Network; Data pre processing; Entropy; Groundwater level modeling; Wavelet

Indexed keywords

AQUIFERS; COMPLEX NETWORKS; CONFORMAL MAPPING; DATA HANDLING; ENTROPY; GROUNDWATER; GROUNDWATER RESOURCES; HYDROGEOLOGY; NEURAL NETWORKS; SELF ORGANIZING MAPS; WATER SUPPLY;

ARDABIL PLAIN; AUTO-REGRESSIVE INTEGRATED MOVING AVERAGE; DATA PREPROCESSING; FORECASTING METHODS; GROUNDWATER LEVEL FORECASTING; MULTI-SCALE FEATURES; SPATIALLY HOMOGENEOUS; WAVELET;

WAVELET TRANSFORMS;

ARTIFICIAL NEURAL NETWORK; DATA PROCESSING; DATA SET; ENTROPY; HYDROLOGICAL MODELING; PREDICTION; TIME SERIES; WATER LEVEL; WATER SUPPLY; WAVELET ANALYSIS;

ARDABIL; IRAN;

EID: 84924401963     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2015.02.048     Document Type: Article

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