Improving the model robustness of flood hazard mapping based on hyperparameter optimization of random forest
Author:
Funder
Ministry of Science and Technology of the People's Republic of China
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference116 articles.
1. Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool – A case of predicting potential zones of sustainable groundwater resources;Adiat;Journal of Hydrology,2012
2. Spatial probabilistic multi-criteria decision making for assessment of flood management alternatives;Ahmadisharaf;Journal of Hydrology,2016
3. Application of random forests to select premium quality vegetable oils by their fatty acid composition;Ai;Food Chemistry,2014
4. Evaluation of flood susceptibility mapping using logistic regression and GIS conditioning factors;Al-Juaidi;Arabian Journal of Geosciences,2018
5. DEM resolution effects on machine learning performance for flood probability mapping;Avand;Journal of Hydro-Environment Research,2022
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