国家/地区 China（8）
关键词 ARTIFICIAL INTELLIG.（3） ARTIFICIAL NEURAL N.（3） GENETIC ALGORITHM（3）
GRAPHENE（3） NANOSCALE ZEROVALEN.（2） REMOVAL（2）
出版物 MATERIALS（5） NANOMATERIALS（2）
出版时间 2017（4） 2018（2）
机构 GUIZHOU NORM.（7）
作者 RUAN WQ（8）

Removal of Crystal Violet by Using Reduced-Graphene-Oxide-Supported Bimetallic Fe/Ni Nanoparticles (rGO/Fe/Ni): Application of Artificial Intelligence Modeling for the Optimization Process

MATERIALS

RUAN WQ, HU JW, QI JM, HOU Y, CAO RS, WEI XH

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

MATERIALS

CAO RS, FAN MY, HU JW, RUAN WQ, WU XL, WEI XH

Optimizing Low-Concentration Mercury Removal from Aqueous Solutions by Reduced Graphene Oxide-Supported Fe3O4 Composites with the Aid of an Artificial Neural Network and Genetic Algorithm

MATERIALS

CAO RS, FAN MY, HU JW, RUAN WQ, XIONG KN, WEI XH

Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA) (vol 7, pg 134, 2017)

NANOMATERIALS

SHI XD, RUAN WQ, HU JW, FAN MY, CAO RS, WEI XH

Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA)

NANOMATERIALS

SHI XD, RUAN WQ, HU JW, FAN MY, CAO RS, WEI XH

Artificial Neural Network Modeling and Genetic Algorithm Optimization for Cadmium Removal from Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zero-Valent Iron (nZVI/rGO) Composites

MATERIALS

FAN MY, LI TJ, HU JW, CAO RS, WEI XH, SHI XD, RUAN WQ

Synthesis and Characterization of Reduced Graphene Oxide-Supported Nanoscale Zero-Valent Iron (nZVI/rGO) Composites Used for Pb(II) Removal

MATERIALS

FAN MY, LI TJ, HU JW, CAO RS, WU Q, WEI XH, LI LY, SHI XD, RUAN WQ

Decolorizing brilliant green by mesoporous Pd-Fe magnetic nanoparticles immobilized on reduced graphene oxide: artificial neural network modeling

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE TECHNOLOGY

HOU Y, QI JM, HU JW, RUAN WQ, XIANG YQ, WEI XH