The nickel ion removal prediction model from aqueous solutions using a hybrid neural genetic algorithm.

Hoseinian, Fatemeh Sadat; Rezai, Bahram; Kowsari, Elaheh

Hoseinian, Fatemeh Sadat; Rezai, Bahram; Kowsari, Elaheh.

Affiliation

Hoseinian FS; Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran 158754413, Iran.
Rezai B; Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran 158754413, Iran. Electronic address: rezai@aut.ac.ir.
Kowsari E; Department of Chemistry, Amirkabir University of Technology, Tehran 15916-34311, Iran.

J Environ Manage ; 204(Pt 1): 311-317, 2017 Dec 15.

Article in En | MEDLINE | ID: mdl-28898752

Subject(s)

Ions/chemistry; Nickel/chemistry; Solutions/chemistry; Water Purification/methods; Adsorption; Algorithms; Nickel/analysis; Water Pollutants, Chemical

Key words

Artificial neural network; Genetic algorithm; Ion flotation; Ni(II) removal; Sensitivity analysis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Solutions / Water Purification / Ions / Nickel Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Environ Manage Year: 2017 Document type: Article Affiliation country: Iran

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