paper
2020
Local & station forecasting
Application study
Classical ML (trees, GP, linear, kernels)Seasonal to annual Preprint
2020-10-01
004
Oct 2020
Hamidreza Ghazvinian, Hossein Bahrami, Hossein Ghazvinian et al.
DOAJ (DOAJ: Directory of Open Access Journals)
Applies an ANN to simulate monthly precipitation in Semnan, Iran from temperature, humidity, wind and pressure inputs, with the best scenario reaching R² of 0.86.
Simulation of Monthly Precipitation in Semnan City Using ANN Artificial Intelligence Model
In one sentence. Applies an ANN to simulate monthly precipitation in Semnan, Iran from temperature, humidity, wind and pressure inputs, with the best scenario reaching R² of 0.86.
Labels
- Topic
- Local & station forecasting
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.22115/scce.2020.242813.1251 OpenAlex:W3087367702
- Added
- 2026-10-22
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