- Tytuł:
- Prediction of adsorption efficiencies of Ni (II) in aqueous solutions with perlite via artificial neural networks
- Autorzy:
- Turp, S. M.
- Powiązania:
- https://bibliotekanauki.pl/articles/204724.pdf
- Data publikacji:
- 2017
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
wastewater
treatment efficiency
adsorption
perlite
artificial neural network - Opis:
- 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.
- Źródło:
-
Archives of Environmental Protection; 2017, 43, 4; 26-32
2083-4772
2083-4810 - Pojawia się w:
- Archives of Environmental Protection
- Dostawca treści:
- Biblioteka Nauki
Artykuł