Assessing neural networks with wavelet denoising and regression models in predicting diel dynamics of eddy covariance-measured latent and sensible heat fluxes and evapotranspiration

Neural Computing and Applications

Volumn 24, Issue 2, 2014, Pages 327-337

  Evrendilek, Fatih ^a  

^a ABANT IZZET BAYSAL UNIVERSITY   (Turkey)

Author keywords

Discrete wavelet transform; Eddy covariance; Energy exchanges; Hydrological processes

Indexed keywords

DISCRETE WAVELET TRANSFORMS; EVAPOTRANSPIRATION; LEARNING ALGORITHMS; MEAN SQUARE ERROR; MULTILAYER NEURAL NETWORKS; REGRESSION ANALYSIS; SIGNAL RECONSTRUCTION;

COEFFICIENT OF DETERMINATION; EDDY COVARIANCE; ENERGY EXCHANGES; HYDROLOGICAL PROCESS; LEVENBERG-MARQUARDT ALGORITHM; MICROMETEOROLOGICAL STATIONS; MULTI-LAYER PERCEPTRONS (MLPS); MULTIPLE NONLINEAR REGRESSION;

FEEDFORWARD NEURAL NETWORKS;

EID: 84892887743     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-012-1240-7     Document Type: Article

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