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

页码：214 / 219

页数：5

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