Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach-Reference-Cited by-同舟云学术

Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach

Published:2020-04 Issue: Volume:244 Page:125450
ISSN:0045-6535
Container-title:Chemosphere
language:en
Short-container-title:Chemosphere

Author:

Qi Chongchong^ORCID,Ly Hai-Bang,Chen Qiusong^ORCID,Le Tien-Thinh,Le Vuong Minh,Pham Binh Thai

Funder

12th Five Years Key Programs for Science and Technology Development of China

Fundamental Research Funds for the Central Universities of Central South University

Publisher

Elsevier BV

Subject

General Medicine,General Chemistry,Environmental Chemistry,Environmental Engineering,Pollution,Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference78 articles.

1. A coupled multivariate statistics, geostatistical and machine-learning approach to address soil pollution in a prototypical Hg-mining site in a natural reserve;Boente;Chemosphere,2019

2. Organic polyelectrolytes in water treatment;Bolto;Water Res.,2007

3. Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS;Bui;J. Hydrol.,2016

4. A novel hybrid artificial intelligent approach based on neural fuzzy inference model and particle swarm optimization for horizontal displacement modeling of hydropower dam;Bui;Neural Comput. Appl.,2018

5. Uncertainty quantification in computational linear structural dynamics for viscoelastic composite structures;Capillon;Comput. Methods Appl. Mech. Eng.,2016

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