Prediction of cadmium removal using an artificial neural network and a neuro-fuzzy technique

被引：20
作者：
Singh T.N. [1 ]
Singh V.K. [2 ]
Sinha S. [2 ]
机构：
[1] Dept. of Earth Sciences, IIT, Powai
[2] Inst. of Technology, Banaras Hindu University
来源：
Mine Water and the Environment | 2006年 / 25卷 / 4期
关键词：
Adsorption; Artificial neural network; Cadmium; Fuzzy logic; Hematite;
D O I：
10.1007/s10230-006-0135-1
中图分类号：
学科分类号：
摘要：
The prediction of adsorption of cadmium by hematite using an adapted neural fuzzy model and a back propagation artificial neural network was compared. Adsorption was found to depend on the Cd concentration, agitation rate, temperature, pH, and the particle size of the hematite. The adaptive neuro-fuzzy inference system proved to be more efficient in predicting Cd adsorption than a single layered feed forward artificial neural network. © IMWA Springer-Verlag 2006.
引用
收藏
页码：214 / 219
页数：5
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