Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment
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Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment

Costache R;Pham QB;Avand M;Thuy Linh NT;Vojtek M;Vojteková J;Lee S;Khoi DN;Thao Nhi PT;Dung TD;;
Journal of environmental management 2020 Vol. 265 pp. -
340
r2020journalnovel

Abstract

Across the world, the flood magnitude is expected to increase as well as the damage caused by their occurrence. In this case, the prediction of areas which are highly susceptible to these phenomena becomes very important for the authorities. The present study is focused on the evaluation of flood po …

Keywords

neural networks National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine computer* algorithms roc curve romania pmid:32421551 doi:10.1016/j.jenvman.2020.110485 romulus costache quoc bao pham tran duc dung floods*

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