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Artificial Intelligence Based Optimization for the Se(IV) Removal from Aqueous Solution by Reduced Graphene Oxide-Supported Nanoscale Zero-Valent Iron Composites
Highly promising artificial intelligence tools, including neural network (ANN), genetic algorithm (GA) and particle swarm optimization (PSO), were applied in the present study to develop an approach for the evaluation of Se(IV) removal from aqueous solutions by reduced graphene oxide-supported nanos...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Materials (Basel) |
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| Κύριοι συγγραφείς: | , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI
2018
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5873007/ https://ncbi.nlm.nih.gov/pubmed/29543753 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ma11030428 |
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