Artificial Intelligence Based Optimization for the Se(IV) Removal from Aqueous Solution by Reduced Graphene Oxide-Supported Nanoscale Zero-Valent Iron Composites

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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Bibliographic Details
Main Authors: Rensheng Cao, Mingyi Fan, Jiwei Hu, Wenqian Ruan, Xianliang Wu, Xionghui Wei
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Materials
Subjects:
Se(IV)
artificial intelligence
artificial neural networks
genetic algorithm
particle swarm optimization
Online Access:http://www.mdpi.com/1996-1944/11/3/428

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http://www.mdpi.com/1996-1944/11/3/428

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