Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method-Reference-Cited by-同舟云学术

Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method

Published:2020-04 Issue: Volume:711 Page:135161
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Hosseini Farzaneh Sajedi^ORCID,Choubin Bahram^ORCID,Mosavi Amir,Nabipour Narjes,Shamshirband Shahaboddin^ORCID,Darabi Hamid,Haghighi Ali Torabi^ORCID

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference147 articles.

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4. Mapping flood susceptibility in an arid region of southern Iraq using ensemble machine learning classifiers: a comparative study;Al-Abadi;Arabian J. Geosci.,2018

5. Ensemble flood risk assessment in Europe under high end climate scenarios;Alfieri;Global Environ. Change,2015

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