Online multistep-ahead inundation depth forecasts by recurrent NARX networks

Hydrology and Earth System Sciences

Volumn 17, Issue 3, 2013, Pages 935-945

  Shen, H Y ^a   Chang, L C ^a  

^a TAMKANG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICAL SYSTEMS; FLOOD CONTROL; FORECASTING; NEURAL NETWORKS; NONLINEAR DYNAMICAL SYSTEMS; RECURRENT NEURAL NETWORKS; SOCIAL NETWORKING (ONLINE); TIME DELAY;

CONSTRUCTED NETWORKS; HYDROLOGICAL FIELDS; INUNDATION AREAS; NARX MODELING; NON-LINEAR AUTOREGRESSIVE WITH EXOGENOUS; ONLINE FEEDBACK; RECURRENT NEURAL NETWORK (RNN); TWO-DIMENSIONAL SIMULATIONS;

FLOODS;

ARTIFICIAL NEURAL NETWORK; FLOOD FORECASTING; MODEL TEST; TWO-DIMENSIONAL MODELING; TYPHOON;

TAIWAN; YILAN [TAIWAN];

EID: 84904176994     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-17-935-2013     Document Type: Article

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