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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Detalles Bibliográficos
Autores principales: Cao, Rensheng, Fan, Mingyi, Hu, Jiwei, Ruan, Wenqian, Wu, Xianliang, Wei, Xionghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873007/
https://www.ncbi.nlm.nih.gov/pubmed/29543753
http://dx.doi.org/10.3390/ma11030428

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873007/
https://www.ncbi.nlm.nih.gov/pubmed/29543753
http://dx.doi.org/10.3390/ma11030428

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