Machine Learning for Drought Prediction; Review, Bibliometric Analysis, and Models Evaluation
Author:
Affiliation:
1. John von Neumann Faculty of Informatics,Budapest,Hungary
2. University of Public Service,Budapest,Hungary
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10297583/10297621/10297771.pdf?arnumber=10297771
Reference39 articles.
1. Drought forecasting by ANN, ANFIS, and SVM and comparison of the models
2. A hybrid wavelet analysis and adaptive neuro-fuzzy inference system for drought forecasting
3. Uncertainty analysis of streamflow drought forecast using artificial neural networks and Monte-Carlo simulation
4. Adaptive Neuro-Fuzzy Inference System for drought forecasting
5. Application of a hybrid association rules/decision tree model for drought monitoring
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