Simulation and optimization of mineralization of urine by electrooxidation process using artificial neural network and genetic algorithm-Reference-Cited by-同舟云学术

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Simulation and optimization of mineralization of urine by electrooxidation process using artificial neural network and genetic algorithm

Published:2021 Issue: Volume:215 Page:90-97
ISSN:
Container-title:DESALINATION AND WATER TREATMENT
language:
Short-container-title:DWT

Author:

Nascimento Victor Ruan Silva,dos Santos Ataíde Matheus Gualberto,de Figueiredo Filho Josan Carvalho,Cavalcanti Eliane Bezerra,Leite Manuela Souza

Publisher

Desalination Publications

Link

http://www.deswater.com/DWT_articles/vol_215_papers/215_2021_90.pdf

Cited by 4 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. Comparison of hybrid RNA-based models to predict the degradation and mineralization of the microcontaminant hormone 17β-estradiol;Chemosphere;2024-02

2. Solar-Powered Desalination: Advancements in Technology and Predictive Modeling for Sustainable Water Production;2024

3. Empirical modeling, experimental optimization, and artificial intelligence (ANN-GA) as a tool for the efficient dye remediation by the biosilica extracted from sugarcane bagasse ash;Biomass Conversion and Biorefinery;2023-09-11

4. Experimental design for combined abatement of organic compounds present in urine;Applied Research;2023-05-11

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