DocumentCode :
3151751
Title :
Modeling of Nitrite Adsorption on Granular Activated Carbon Using Artificial Neural Network
Author :
Nemati, Abbas ; Khani, Ali ; Mirzaei, Mortaza
Author_Institution :
Div. of Electr. & Electron. Eng., Islamic Azad Univ., Miyaneh, Iran
fYear :
2009
fDate :
28-30 Dec. 2009
Firstpage :
118
Lastpage :
121
Abstract :
Monitoring the content of nitrate and nitrite plays an important role in the analysis of surface, drinking and wastewaters because it is harmful for health of human. The adsorption of nitrite onto granular activated carbon could be monitored by an on-line spectrophotometric analysis system. artificial neural network modeling has been successfully used to investigate the cause effect relationship in the adsorption process. The artificial neural network model could describe the behavior of the complex interaction process with the range of experimental conditions adopted. Simulation based on the artificial neural network model can estimate the behavior of the process under different conditions.
Keywords :
chemical engineering computing; neural nets; spectrophotometry; artificial neural network; complex interaction process; granular activated carbon; nitrite adsorption; online spectrophotometric analysis system; Artificial neural networks; Biological neural networks; Humans; Mathematical model; Neural networks; Neurons; Temperature; Transfer functions; Wastewater; Water pollution; ANN; Adsorption; GAC; Modeling; Nitrite;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental and Computer Science, 2009. ICECS '09. Second International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-0-7695-3937-9
Electronic_ISBN :
978-1-4244-5591-1
Type :
conf
DOI :
10.1109/ICECS.2009.40
Filename :
5383541
Link To Document :
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