شماره ركورد كنفرانس :
4518
عنوان مقاله :
An artificial neural network-based method to predict adsorption of heavy metal ions from aqueous solutions
Author/Authors :
J. Sayyad Amin Chemical Engineering department, University of Guilan, Rasht IRAN , H. Heshmati Chemical Engineering department, University of Guilan, Rasht IRAN
كليدواژه :
Adsorption , Neural Network , Removal percent , Metal ions
عنوان كنفرانس :
The 7th International Chemical Engineering Congress & Exhibition (IChEC 2011
چكيده لاتين :
In this study, Artificial Neural Network (ANN) was developed to predict adsorption and removal percent of some metal ions on activated carbon prepared from apricot stone (ASAC). The ANN which was used, is a perceptron feed forward network that has two layers with 10 and 1 neuron(s) in the first and second layer, respectively. According to reported errors, the estimated/predicted values of ANN had a good agreement with experimental data.
