paper
2020
Local & station forecasting
Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels) Journal
2020-01-01
004
Jan 2020
Sherko H. Murad, Yusra Mohammed M. Salih
International Journal of Advances in Life Science and Technology
Compares ANN, Naive Bayes and SVM classifiers for rainfall prediction in Sulaymaniyah, Iraq, using station weather records; no single headline number given.
Comparable Investigation for Rainfall Forecasting using Different Data Mining Approaches in Sulaymaniyah City in Iraq
In one sentence. Compares ANN, Naive Bayes and SVM classifiers for rainfall prediction in Sulaymaniyah, Iraq, using station weather records; no single headline number given.
Labels
- Topic
- Local & station forecasting
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.18488/journal.72.2020.41.11.18 OpenAlex:W3028988192
- Added
- 2026-10-22
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