A new insight for real-time wastewater quality prediction using hybridized kernel-based extreme learning machines with advanced optimization algorithms-Reference-Cited by-同舟云学术

A new insight for real-time wastewater quality prediction using hybridized kernel-based extreme learning machines with advanced optimization algorithms

Published:2021-11-05 Issue: Volume: Page:
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Alavi Javad,Ewees Ahmed A.,Ansari Sepideh,Shahid Shamsuddin,Yaseen Zaher Mundher^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-021-17190-2.pdf

Reference52 articles.

1. Abba SI, Hadi SJ, Sammen SS et al (2020) Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination. J Hydrol 587:124974. https://doi.org/10.1016/j.jhydrol.2020.124974

2. Abouzari M, Pahlavani P, Izaditame F, Bigdeli B (2021) Estimating the chemical oxygen demand of petrochemical wastewater treatment plants using linear and nonlinear statistical models–a case study. Chemosphere 270:129465

3. Abyaneh HZ (2014) Evaluation of multivariate linear regression and artificial neural networks in prediction of water quality parameters. J Environ Heal Sci Eng 12:40

4. Al-Doury MMI, Alwan MH (2019) Phenol removal from synthetic wastewater using batch adsorption scheme. Tikrit J Eng Sci 26:31–36. https://doi.org/10.25130/tjes.26.3.04

5. Al-Obaidi MA, Li JP, Kara-Zaïtri C, Mujtaba IM (2017) Optimisation of reverse osmosis based wastewater treatment system for the removal of chlorophenol using genetic algorithms. Chem Eng J 316:91–100. https://doi.org/10.1016/j.cej.2016.12.096

Cited by 24 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. Multi-Scale Temporal Convolutional Networks for Effluent COD Prediction in Industrial Wastewater;Applied Sciences;2024-07-03

2. Wastewater treatment process enhancement based on multi-objective optimization and interpretable machine learning;Journal of Environmental Management;2024-07

3. Forecasting influent wastewater quality by chaos coupled machine learning optimized with Bayesian algorithm;Journal of Water Process Engineering;2024-05

4. Insightful Analysis and Prediction of SCOD Component Variation in Low-Carbon/Nitrogen-Ratio Domestic Wastewater via Machine Learning;Water;2024-04-01

5. Predicting effluent quality parameters for wastewater treatment plant: A machine learning-based methodology;Chemosphere;2024-03