Clustering-based hybrid inundation model for forecasting flood inundation depths

Journal of Hydrology

Volumn 385, Issue 1-4, 2010, Pages 257-268

  Chang, Li Chiu ^a   Shen, Hung Yu ^a   Wang, Yi Fung ^b   Huang, Jing Yu ^a   Lin, Yen Tso ^a  

^a TAMKANG UNIVERSITY   (Taiwan)

^b MINISTRY OF ECONOMIC AFFAIRS   (Taiwan)

Author keywords

Back propagation neural network; Flood inundation map; K means clustering; Linear regression

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION NEURAL NETWORKS; BACK-PROPAGATION NEURAL NETWORK; CONTROL POINT; CPU TIME; DATA POINTS; DATA PREPROCESSING; DISASTER INFORMATION; FORECASTING MODELS; K-MEANS CLUSTERING; LINEAR CORRELATION; LINEAR REGRESSION MODELS; LOSS OF LIFE; MULTI-GRID; STUDY AREAS; TWO STAGE;

BACKPROPAGATION; DATA FLOW ANALYSIS; FLOOD CONTROL; LINEAR REGRESSION; MODEL BUILDINGS; RISK PERCEPTION; TORSIONAL STRESS; WATER SUPPLY SYSTEMS; WEATHER FORECASTING;

NEURAL NETWORKS;

BACK PROPAGATION; FLOOD CONTROL; FLOOD FORECASTING; FLOODING; NUMERICAL MODEL; REGRESSION ANALYSIS; RISK ASSESSMENT;

CHANGHUA; TAIWAN;

EID: 77950860762     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2010.02.028     Document Type: Article

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