paper
2021
Local & station forecasting
New model or method
Classical ML (trees, GP, linear, kernels)6 h–3 days Other
2021-10-27
004
Oct 2021
Mohamed Arsh Salim Khatib, Sanketh Subbaiah, Vinit Patil et al.
preprint
Shallow backpropagation neural networks are tuned to forecast a year of daily weather from historical records, mainly comparing hidden-layer and neuron choices.
WEATHER FORECASTING USING ARTIFICIAL NEURAL NETWORK
In one sentence. Shallow backpropagation neural networks are tuned to forecast a year of daily weather from historical records, mainly comparing hidden-layer and neuron choices.
Labels
- Topic
- Local & station forecasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- OpenAlex:W3209705079
- Added
- 2026-10-22
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