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Artificial neural network for modeling of CU (II) bio-sorption from simulated wastewater by fungal biomass
Other Title(s)
نمذجة الشبكة العصبية الاصطناعية لأزاله أيون النحاس من مياه الصرف الصحي باستخدام الكتلة الحيوية الفطرية
Joint Authors
Mazlum, Huda Mahdi
Khalil, Amal Hamzah
Ali, Ziyad Tariq Abd
Source
Journal of Engineering and Development
Issue
Vol. 19, Issue 6 (30 Nov. 2015), pp.210-222, 13 p.
Publisher
al-Mustansyriah University College of Engineering
Publication Date
2015-11-30
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
A three-layer artificial neural network model was developed to predict the removal efficiency of Cu(II) ions from simulated wastewater by fungal biomass based on 85 batch experiments.
The effect of different parameters such as contact time between adsorbate and adsorbent (10-180 min), initial pH of the solution (3-7), initial metal concentration (50-250 mg/L), adsorbent dosage (0.05-2 g/100 mL), agitation speed (0-250 rpm) and temperature (10-60 ºC) were studied.
The best values of these parameters that achieved the maximum removal efficiency (=95 %) of Cu(II) were 90 min, 6, 50 mg/L, 2 g/100 mL, 200 rpm and 20 ºC, respectively.The present model was able to predict adsorption efficiency with a tangent sigmoid transfer function (tansig) at hidden layer with 8 neurons and a linear transfer function (purelin) at output layer.
The linear regression between the network outputs and the corresponding targets were proven to be satisfactory with a correlation coefficient of greater than 0.99778 for used six model variables.
The sensitivity analysis based on the artificial neural network indicated that the initial pH of the solution with a relative importance of 22.1% appeared to be the most influential parameter in the Cu(II) removal, followed by dosage (19.5%), agitation speed (18.2%), temperature (14.1%), time (13.3%), and concentration (12.8%).
American Psychological Association (APA)
Mazlum, Huda Mahdi& Khalil, Amal Hamzah& Ali, Ziyad Tariq Abd. 2015. Artificial neural network for modeling of CU (II) bio-sorption from simulated wastewater by fungal biomass. Journal of Engineering and Development،Vol. 19, no. 6, pp.210-222.
https://search.emarefa.net/detail/BIM-830321
Modern Language Association (MLA)
Mazlum, Huda Mahdi…[et al.]. Artificial neural network for modeling of CU (II) bio-sorption from simulated wastewater by fungal biomass. Journal of Engineering and Development Vol. 19, no. 6 (Nov. 2015), pp.210-222.
https://search.emarefa.net/detail/BIM-830321
American Medical Association (AMA)
Mazlum, Huda Mahdi& Khalil, Amal Hamzah& Ali, Ziyad Tariq Abd. Artificial neural network for modeling of CU (II) bio-sorption from simulated wastewater by fungal biomass. Journal of Engineering and Development. 2015. Vol. 19, no. 6, pp.210-222.
https://search.emarefa.net/detail/BIM-830321
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-830321