paper
2018
Local & station forecasting
Sub-seasonal to seasonal Application study
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2018-06-30
004
Jun 2018
Ahmad Bello, Mustapha Mamman
Environmental and Earth Sciences Research Journal
Artificial neural network predicts monthly rainfall in Kano, Nigeria from lagged ENSO indices, achieving correlation 0.73 versus 0.70 for a linear model.
Monthly rainfall prediction using artificial neural network: A case study of Kano, Nigeria
In one sentence. Artificial neural network predicts monthly rainfall in Kano, Nigeria from lagged ENSO indices, achieving correlation 0.73 versus 0.70 for a linear model.
Labels
- Topic
- Local & station forecasting, Sub-seasonal to seasonal
- 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:10.18280/eesrj.050201 OpenAlex:W2918919013
- Added
- 2026-10-22
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