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گواهی نمایه سازی مقاله An artificial neural network-based method to predict adsorption of heavy metal ions from aqueous solutions

عنوان مقاله: An artificial neural network-based method to predict adsorption of heavy metal ions from aqueous solutions
شناسه (COI) مقاله: ICHEC07_160
منتشر شده در هفتمین کنگره ملی مهندسی شیمی در سال ۱۳۹۰
مشخصات نویسندگان مقاله:

j sayyad amin - Chemical Engineering department, University of Guilan, Rasht 41635- 3756, IRAN
h heshmati - Chemical Engineering department, University of Guilan, Rasht 41635- 3756, IRAN

خلاصه مقاله:
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.

کلمات کلیدی:
Adsorption, Neural Network, Removal percent, Metal ions

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-ICHEC07-ICHEC07_160.html