- Tytuł:
- The Effect of Nanomaterial Type on Water Disinfection Using Data Mining
- Autorzy:
-
Hamdan, Mohammad
Khalil, Rana Haj
Abdelhafez, Eman
Ajib, Salman - Powiązania:
- https://bibliotekanauki.pl/articles/24201710.pdf
- Data publikacji:
- 2023
- Wydawca:
- Polskie Towarzystwo Inżynierii Ekologicznej
- Tematy:
-
water disinfection
artificial neural network
nanotechnology
data mining - Opis:
- Multiple linear regression and artificial neural network (ANN) models were utilized in this study to assess the type influence of nanomaterials on polluted water disinfection. This was accomplished by estimating E. coli (E.C) and the total coliform (TC) concentrations in contaminated water while nanoparticles were added at various concentrations as input variables, together with water temperature, PH, and turbidity. To achieve this objective, two approaches were implemented: data mining with two types of artificial neural networks (MLP and RBF), and multiple linear regression models (MLR). The simulation was conducted using SPSS software. Data mining was revealed after the estimated findings were checked against the measured data. It was found that MLP was the most promising model in the prediction of the TC and E.C concentration, s followed by the RBF and MLR models, respectively.
- Źródło:
-
Journal of Ecological Engineering; 2023, 24, 4; 244--251
2299-8993 - Pojawia się w:
- Journal of Ecological Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł