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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2017
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| Materias: | |
| 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 |