paper
2019
Extremes & hazards
Review, survey or tutorial
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2019-04-30
008
Apr 2019
Akhilesh Kumar Yadu, Gyanesh Shrivastava
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
Literature review of over 90 studies (2000–2017) on neural networks for drought and monsoon rainfall forecasting, mainly in India.
APPLICATION OF NEURAL NETWORK IN DROUGHT FORECASTING; AN INTENSE LITERATURE REVIEW
In one sentence. Literature review of over 90 studies (2000–2017) on neural networks for drought and monsoon rainfall forecasting, mainly in India.
Labels
- Topic
- Extremes & hazards
- Type
- Review, survey or tutorial
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.34218/ijcet.10.2.2019.019 OpenAlex:W3000757893
- Added
- 2026-10-22
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