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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...

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Bibliografski detalji
Izdano u:Materials (Basel)
Glavni autori: Cao, Rensheng, Fan, Mingyi, Hu, Jiwei, Ruan, Wenqian, Wu, Xianliang, Wei, Xionghui
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2018
Teme:
Online pristup: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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