Water quality prediction of copper-molybdenum mining-beneficiation wastewater based on the PSO-SVR model-Reference-Cited by-同舟云学术

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Water quality prediction of copper-molybdenum mining-beneficiation wastewater based on the PSO-SVR model

Published:2023-03-13 Issue:8 Volume:17 Page:
ISSN:2095-2201
Container-title:Frontiers of Environmental Science & Engineering
language:en
Short-container-title:Front. Environ. Sci. Eng.

Author:

Fu Xiaohua,Zheng Qingxing,Jiang Guomin,Roy Kallol,Huang Lei,Liu Chang,Li Kun,Chen Honglei,Song Xinyu,Chen Jianyu,Wang Zhenxing

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s11783-023-1698-9.pdf

Reference34 articles.

1. Asami H, Golabi M, Albaji M (2021). Simulation of the biochemical and chemical oxygen demand and total suspended solids in wastewater treatment plants: data-mining approach. Journal of Cleaner Production, 296: 126533

2. Bagherzadeh F, Mehrani M J, Basirifard M, Roostaei J (2021). Comparative study on total nitrogen prediction in wastewater treatment plant and effect of various feature selection methods on machine learning algorithms performance. Journal of Water Process Engineering, 41: 102033

3. Belanche L A, Valdés J J, Comas J, Roda I R, Poch M (1999). Towards a model of input-output behaviour of wastewater treatment plants using soft computing techniques. Environmental Modelling & Software, 14(5): 409–419

4. Chen K Y (2007). Forecasting systems reliability based on support vector regression with genetic algorithms. Reliability Engineering & System Safety, 92(4): 423–432

5. Chitsazan N, Nadiri A A, Tsai F T C (2015). Prediction and structural uncertainty analyses of artificial neural networks using hierarchical Bayesian model averaging. Journal of Hydrology (Amsterdam), 528: 52–62

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