Removal of Ni (II) from aqueous solution by an electric arc furnace slag using artificial neural network approach
An artificial neural network (ANN) was built to model the adsorption of nickel on electric arc furnace slag (EAFS). The effect of operating parameters such as pH, the initial metal ion concentration, particle size, and adsorbent dosage were investigated to optimize the sorption process. The operatin...
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Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
American-Eurasian Network for Scientific Information
2013
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Online Access: | http://psasir.upm.edu.my/id/eprint/28768/1/Removal%20of%20Ni%20%28II%29%20from%20aqueous%20solution%20by%20an%20electric%20arc%20furnace%20slag%20using%20artificial%20neural%20network%20approach.pdf http://psasir.upm.edu.my/id/eprint/28768/ http://www.aensiweb.com/old/aeb_September_2013.html |
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Institution: | Universiti Putra Malaysia |
Language: | English |
Internet
http://psasir.upm.edu.my/id/eprint/28768/1/Removal%20of%20Ni%20%28II%29%20from%20aqueous%20solution%20by%20an%20electric%20arc%20furnace%20slag%20using%20artificial%20neural%20network%20approach.pdfhttp://psasir.upm.edu.my/id/eprint/28768/
http://www.aensiweb.com/old/aeb_September_2013.html