paper
2018
Local & station forecasting
Application study
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2018-01-01
004
Jan 2018
Chelang Akrem Arslan, Enas Kayis
Journal of Asian Scientific Research
Backpropagation neural network and ANFIS models forecast daily precipitation for two Texas cities using weather variables and lagged precipitation values.
Weather Forecasting Models Using Neural Networks and Adaptive Neuro Fuzzy Inference for Two Case Studies at Huoston, Texas and Dallas States
In one sentence. Backpropagation neural network and ANFIS models forecast daily precipitation for two Texas cities using weather variables and lagged precipitation values.
Labels
- Topic
- Local & station forecasting
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.18488/journal.2.2018.81.1.12 OpenAlex:W2782045358
- Added
- 2026-10-22
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