Prediction and optimization of struvite recovery from wastewater by machine learning
The recovery of nitrogen and phosphorus from simulated wastewater in the form of struvite was investigated through a Machine Learning (ML)-based approach. The Extreme Gradient Boosting Algorithm (XGBoost) and Random Forest (RF) models were used for single-objective and multi-objective prediction of...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Energy Environmental Protection
2023-12-01
|
| Series: | 能源环境保护 |
| Subjects: | |
| Online Access: | https://eep1987.com/en/article/4655 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|