Prediction of adsorption efficiencies of Ni (II) in aqueous solutions with perlite via artificial neural networks
This study investigates the estimated adsorption efficiency of artificial Nickel (II) ions with perlite in an aqueous solution using artificial neural networks, based on 140 experimental data sets. Prediction using artificial neural networks is performed by enhancing the adsorption efficiency with t...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2017-12-01
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| Series: | Archives of Environmental Protection |
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| Online Access: | http://www.degruyter.com/view/j/aep.2016.43.issue-4/aep-2017-0034/aep-2017-0034.xml?format=INT |
| _version_ | 1797423059759529984 |
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| author | Turp Sinan Mehmet |
| author_facet | Turp Sinan Mehmet |
| author_sort | Turp Sinan Mehmet |
| collection | DOAJ |
| description | This study investigates the estimated adsorption efficiency of artificial Nickel (II) ions with perlite in an aqueous solution using artificial neural networks, based on 140 experimental data sets. Prediction using artificial neural networks is performed by enhancing the adsorption efficiency with the use of Nickel (II) ions, with the initial concentrations ranging from 0.1 mg/L to 10 mg/L, the adsorbent dosage ranging from 0.1 mg to 2 mg, and the varying time of effect ranging from 5 to 30 mins. This study presents an artificial neural network that predicts the adsorption efficiency of Nickel (II) ions with perlite. The best algorithm is determined as a quasi-Newton back-propagation algorithm. The performance of the artificial neural network is determined by coefficient determination (R2), and its architecture is 3-12-1. The prediction shows that there is an outstanding relationship between the experimental data and the predicted values. |
| first_indexed | 2024-03-09T07:40:59Z |
| format | Article |
| id | doaj.art-2554386233884659808d26bec57270cc |
| institution | Directory Open Access Journal |
| issn | 2083-4810 |
| language | English |
| last_indexed | 2024-03-09T07:40:59Z |
| publishDate | 2017-12-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Environmental Protection |
| spelling | doaj.art-2554386233884659808d26bec57270cc2023-12-03T04:30:53ZengPolish Academy of SciencesArchives of Environmental Protection2083-48102017-12-01434263210.1515/aep-2017-0034aep-2017-0034Prediction of adsorption efficiencies of Ni (II) in aqueous solutions with perlite via artificial neural networksTurp Sinan Mehmet0Bitlis Eren University, Turkey Faculty of Architecture and Engineering, Department of Environmental Engineering, Merkez/Bitlis, TurkeyThis study investigates the estimated adsorption efficiency of artificial Nickel (II) ions with perlite in an aqueous solution using artificial neural networks, based on 140 experimental data sets. Prediction using artificial neural networks is performed by enhancing the adsorption efficiency with the use of Nickel (II) ions, with the initial concentrations ranging from 0.1 mg/L to 10 mg/L, the adsorbent dosage ranging from 0.1 mg to 2 mg, and the varying time of effect ranging from 5 to 30 mins. This study presents an artificial neural network that predicts the adsorption efficiency of Nickel (II) ions with perlite. The best algorithm is determined as a quasi-Newton back-propagation algorithm. The performance of the artificial neural network is determined by coefficient determination (R2), and its architecture is 3-12-1. The prediction shows that there is an outstanding relationship between the experimental data and the predicted values.http://www.degruyter.com/view/j/aep.2016.43.issue-4/aep-2017-0034/aep-2017-0034.xml?format=INTwastewatertreatment efficiencyadsorptionperliteartificial neural network |
| spellingShingle | Turp Sinan Mehmet Prediction of adsorption efficiencies of Ni (II) in aqueous solutions with perlite via artificial neural networks Archives of Environmental Protection wastewater treatment efficiency adsorption perlite artificial neural network |
| title | Prediction of adsorption efficiencies of Ni (II) in aqueous solutions with perlite via artificial neural networks |
| title_full | Prediction of adsorption efficiencies of Ni (II) in aqueous solutions with perlite via artificial neural networks |
| title_fullStr | Prediction of adsorption efficiencies of Ni (II) in aqueous solutions with perlite via artificial neural networks |
| title_full_unstemmed | Prediction of adsorption efficiencies of Ni (II) in aqueous solutions with perlite via artificial neural networks |
| title_short | Prediction of adsorption efficiencies of Ni (II) in aqueous solutions with perlite via artificial neural networks |
| title_sort | prediction of adsorption efficiencies of ni ii in aqueous solutions with perlite via artificial neural networks |
| topic | wastewater treatment efficiency adsorption perlite artificial neural network |
| url | http://www.degruyter.com/view/j/aep.2016.43.issue-4/aep-2017-0034/aep-2017-0034.xml?format=INT |
| work_keys_str_mv | AT turpsinanmehmet predictionofadsorptionefficienciesofniiiinaqueoussolutionswithperliteviaartificialneuralnetworks |