Water quality prediction using machine learning methods

By A. Haghiabi, A. Nasrolahi, A. Parsaie. 2018

339 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Environmental Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/43751304d64c9c56c00db6659f9d041ac4cd561c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Mengyuan Zhu
2. Hongqiang Ren
3. Jiawei Wang
4. Xiao Yang
5. Lin Ye
6. Bin Wu
7. Linyu Zhang

In Environmental Engineering

1. Mengyuan Zhu
2. Hongqiang Ren
3. Jiawei Wang
4. Xiao Yang
5. Lin Ye
6. Bin Wu
7. Linyu Zhang

In Water Science and Technology

1. Mengyuan Zhu
2. Hongqiang Ren
3. Jiawei Wang
4. Xiao Yang
5. Lin Ye
6. Bin Wu
7. Linyu Zhang

Citations in the corpus

• A review of the application of machine learning in water quality evaluation (2022, positive): “ANN and SVM have provided excellent performance in the prediction of water quality components [24,23].”