国家/地区 China（4）
关键词 ARTIFICIAL NEURAL N.（2） GENETIC ALGORITHM（2）
出版物 MATERIALS（2） NANOMATERIALS（2）
出版时间 2017（4）
机构 GUIZHOU NORMAL UNIV（4）
作者 CAO RS（4） FAN MY（4） HU JW（4） RUAN WQ（4）
WEI XH（4） SHI XD（3）

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