A new approach in adsorption modeling using random forest regression, Bayesian multiple linear regression, and multiple linear regression : 2,4-D adsorption by a green adsorbent
The mathematical model's usage in water quality prediction has received more interest recently. In this research, the potential of random forest regression (RFR), Bayesian multiple linear regression (BMLR), and multiple linear regression (MLR) were examined to predict the amount of 2,4-dichloro...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 82(2020), 8 vom: 27. Okt., Seite 1586-1602
|
|---|
| 1. Verfasser: |
Beigzadeh, Bahareh
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Bahrami, Mehdi,
Amiri, Mohammad Javad,
Mahmoudi, Mohammad Reza |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2020
|
|---|
| Zugriff auf das übergeordnete Werk: | Water science and technology : a journal of the International Association on Water Pollution Research
|
|---|
| Schlagworte: | Journal Article
Water Pollutants, Chemical
2,4-Dichlorophenoxyacetic Acid
2577AQ9262 |
|---|