Comparison of neural network architectures and inputs for radar rainfall adjustment for typhoon events

Journal of Hydrology

Volumn 405, Issue 1-2, 2011, Pages 150-160

  Chen, Shien Tsung ^a   Yu, Pao Shan ^b   Liu, Bin Wu ^b  

^a FENG CHIA UNIVERSITY   (Taiwan)

^b NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

Radar rainfall adjustment; Radial basis function neural network; Support vector regression

Indexed keywords

ADJUSTMENT MODEL; INPUT VECTOR; INTERCOMPARISONS; MODEL CALIBRATION AND VALIDATION; MODEL PERFORMANCE; MOUNTAINOUS REGIONS; RADAR RAINFALL; RADIAL BASIS FUNCTION NEURAL NETWORKS; RAINFALL DATA; RAINGAUGES; SIMULATION RESULT; SPATIAL RAINFALL; SUPPORT VECTOR REGRESSION; SUPPORT VECTOR REGRESSIONS; VALIDATION RESULTS;

COMPUTER SIMULATION; HURRICANES; NETWORK ARCHITECTURE; NEURAL NETWORKS; RADAR; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; VECTORS;

RAIN;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; CALIBRATION; COMPARATIVE STUDY; DATA SET; ERROR ANALYSIS; ESTIMATION METHOD; MOUNTAIN REGION; NUMERICAL MODEL; OBSERVATIONAL METHOD; PRECIPITATION ASSESSMENT; RADAR; RAINFALL; RAINGAUGE; REGRESSION ANALYSIS; TOPOGRAPHY; TYPHOON;

EID: 79959964806     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2011.05.017     Document Type: Article

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