Fan, M.; Li, T.; Hu, J.; Cao, R.; Wei, X.; Shi, X.; Ruan, W.
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 2017, 10, 544.
https://doi.org/10.3390/ma10050544
AMA Style
Fan M, Li T, Hu J, Cao R, Wei X, Shi X, Ruan W.
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. 2017; 10(5):544.
https://doi.org/10.3390/ma10050544
Chicago/Turabian Style
Fan, Mingyi, Tongjun Li, Jiwei Hu, Rensheng Cao, Xionghui Wei, Xuedan Shi, and Wenqian Ruan.
2017. "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 10, no. 5: 544.
https://doi.org/10.3390/ma10050544
APA Style
Fan, M., Li, T., Hu, J., Cao, R., Wei, X., Shi, X., & Ruan, W.
(2017). 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, 10(5), 544.
https://doi.org/10.3390/ma10050544