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
سال انتشار
2011
عنوان كنفرانس
The 7th International Chemical Engineering Congress & Exhibition (IChEC 2011
زبان مدرك
انگليسي
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.
كشور
ايران
تعداد صفحه 2
7
از صفحه
1
تا صفحه
7
لينک به اين مدرک