paper
2019
Extremes & hazards
Local & station forecasting New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2019-10-08
012
Oct 2019
Ping‐Cheng Hsieh, Wei-An Tong, Yung‐Chieh Wang
Hydrological Sciences Journal
Hybrid ANN and multiple regression forecasts typhoon total rainfall and groundwater-level change in Taiwan's Zhuoshui basin, raising accuracy to about 80% from station data.
A hybrid approach of artificial neural network and multiple regression to forecast typhoon rainfall and groundwater-level change
In one sentence. Hybrid ANN and multiple regression forecasts typhoon total rainfall and groundwater-level change in Taiwan's Zhuoshui basin, raising accuracy to about 80% from station data.
Labels
- Topic
- Extremes & hazards, Local & station forecasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1080/02626667.2019.1677905 OpenAlex:W2979405346
- Added
- 2026-10-22
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