Optimizing Low-Concentration Mercury Removal from Aqueous Solutions by Reduced Graphene Oxide-Supported Fe(3)O(4) Composites with the Aid of an Artificial Neural Network and Genetic Algorithm

Reduced graphene oxide-supported Fe(3)O(4) (Fe(3)O(4)/rGO) composites were applied in this study to remove low-concentration mercury from aqueous solutions with the aid of an artificial neural network (ANN) modeling and genetic algorithm (GA) optimization. The Fe(3)O(4)/rGO composites were prepared...

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Detalles Bibliográficos
Autores principales: Cao, Rensheng, Fan, Mingyi, Hu, Jiwei, Ruan, Wenqian, Xiong, Kangning, Wei, Xionghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706226/
https://www.ncbi.nlm.nih.gov/pubmed/29112141
http://dx.doi.org/10.3390/ma10111279

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706226/
https://www.ncbi.nlm.nih.gov/pubmed/29112141
http://dx.doi.org/10.3390/ma10111279

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