Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling-Reference-Cited by-同舟云学术

Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling

Published:2021-04 Issue: Volume:199 Page:105114
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Panahi Mahdi,Dodangeh Esmaeel,Rezaie Fatemeh,Khosravi Khabat,Van Le Hiep,Lee Moung-Jin,Lee Saro,Thai Pham Binh

Funder

Korea Institute of Geoscience and Mineral Resources

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference105 articles.

1. Integrating flood hazard into site selection of detention basins using spatial multi-criteria decision-making;Ahmadisharaf;J. Environ. Plann. Manage.,2016

2. Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA);Ahmadlou;Geocarto Int.,2019

3. A hybrid particle swarm optimization and support vector regression model for modelling permeability prediction of hydrocarbon reservoir;Akande;J. Petrol. Sci. Eng.,2017

4. Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting;Al-Musaylh;Appl. Energy,2018

5. GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: A case of Topľa basin;Ali;Slovakia. Ecol. Indic.,2020

Cited by 62 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comprehensive framework for assessing the spatial drivers of flood disasters using an optimal Parameter-based geographical Detector–machine learning coupled model;Geoscience Frontiers;2024-11

2. Landslide susceptibility assessment and mapping using new ensemble model;Advances in Space Research;2024-10

3. Developing a flood risk assessment model with genetic algorithm-based weights;Journal of Hydrology;2024-10

4. Prediction of runoff characteristics in permeable pavements using experimental data and intelligent models;Environmental Science and Pollution Research;2024-08-16

5. Examination of the efficacy of machine learning approaches in the generation of flood susceptibility maps;Environmental Earth Sciences;2024-07