paper
2023
Local & station forecasting
Applications & impacts New model or method
CNN / U-NetRNN / LSTM / ConvLSTM6 h–3 days Journal
2023-07-11
012
Jul 2023
Chuen-Jyh Chen, Chieh-Ni Huang, S. M. Yang
Journal of Intelligent & Fuzzy Systems
CNN-LSTM hybrid forecasts aviation visibility, reducing RMSE to 2.68 and MAPE to 13.41% from LSTM alone.
Aviation visibility forecasting by integrating Convolutional Neural Network and long short-term memory network
In one sentence. CNN-LSTM hybrid forecasts aviation visibility, reducing RMSE to 2.68 and MAPE to 13.41% from LSTM alone.
Labels
- Topic
- Local & station forecasting, Applications & impacts
- Type
- New model or method
- Method
- CNN / U-Net, RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ, Other
- Status
- Research
- Identifiers
- DOI:10.3233/jifs-230483 OpenAlex:W4383956471
- Added
- 2026-10-22
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