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應用雷達降雨資料與支撐向量機於洪水預報結果之修正研究
Translated title of the contribution
:
Study of Applying Radar Rainfall and Support Vector Machine to Correct Flood Forcasts
Jing Xue Wang
, Yuan Chien Lin
,
Dong-Sin Shih
, Ray Shyan Wu
*
*
Corresponding author for this work
Department of Civil Engineering
Research output
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Contribution to journal
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peer-review
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Keyphrases
Support Vector Machine
100%
Radar Rainfall
100%
Forcasting
100%
Root Mean Square Error
50%
Correlation Coefficient
50%
Quantitative Precipitation Estimation
50%
Flood Forecasting
50%
Forecasting System
50%
Rain Gauge
50%
Weather Surveillance Radar
50%
Accurate Simulation
25%
Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS)
25%
Rainfall Data
25%
Water Level
25%
Multiple Sensors
25%
Spatial Variability
25%
Temporal Variability
25%
Water Level Variation
25%
WASH123D
25%
Support Modification
25%
Engineering
Support Vector Machine
100%
Root Mean Square Error
50%
Surveillance Radar
50%
Rain Gage
50%
Simulation Result
25%
Peak Value
25%
Multiple Sensor
25%
Accurate Simulation
25%
Earth and Planetary Sciences
Support Vector Machine
100%
Correlation Coefficient
50%
Root-Mean-Square Error
50%
Rain Gage
50%