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Artificial neural network modeling of the river water quality—A case study
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Citations
Cited by
Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
Nourani, V., Hosseini Baghanam, A., Adamowski, J., & Kisi, O. (2014) · Journal of Hydrology · doi:10.1016/j.jhydrol.2014.03.057 · Cited by 730
Machine learning methods for better water quality prediction
Najah Ahmed, A., Binti Othman, F., Abdulmohsin Afan, H., Khaleel Ibrahim, R., Ming Fai, C., Shabbir Hossain, M., Ehteram, M., & Elshafie, A. (2019) · Journal of Hydrology · doi:10.1016/j.jhydrol.2019.124084 · Cited by 686
A survey on river water quality modelling using artificial intelligence models: 2000–2020
Tiyasha, Tung, T. M., & Yaseen, Z. M. (2020) · Journal of Hydrology · doi:10.1016/j.jhydrol.2020.124670 · Cited by 650
Tong, X., Mohapatra, S., Zhang, J., Tran, N. H., You, L., He, Y., & Gin, K. Y.-H. (2022) · Water Research · doi:10.1016/j.watres.2022.118418 · Cited by 367
Tripathy, K. P., & Mishra, A. K. (2024) · Journal of Hydrology · doi:10.1016/j.jhydrol.2023.130458 · Cited by 336
Metadata
- Authors
- Singh, K. P., Basant, A., Malik, A., & Jain, G.
- Venue
- Ecological Modelling
- Publisher
- Elsevier BV
- Published
- 2009-03
- Volume
- 220
- Issue
- 6
- Pages
- 888-895
- ISSN
- 0304-3800 (ISSN-L)
- OpenAlex
- W2017978747
- Cited by
- 661
- References
- 0
- FWCI
- 19.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Artificial neural network modeling of the river water quality—A case study. https://app.cochat.ai/papers/10.1016/j.ecolmodel.2009.01.004
- The paper
- Singh, K. P., Basant, A., Malik, A., & Jain, G. (2009). Artificial neural network modeling of the river water quality—A case study. Ecological Modelling. https://doi.org/10.1016/j.ecolmodel.2009.01.004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
