The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance
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Cites
Hagan, M., Demuth, H. B., Beale, M. H., & Jes?s, O. D. (2016) · Institutional Repository of the National University Open and Distance UNAD (Universidad Nacional Abierta y a Distancia) · Cited by 5,133
Neural Networks and the Bias/Variance Dilemma
Geman, S., Bienenstock, E., & Doursat, R. (1992) · Neural Computation · doi:10.1162/neco.1992.4.1.1 · Cited by 3,578
Maier, H. R., & Dandy, G. C. (2000) · Environmental Modelling & Software · doi:10.1016/s1364-8152(99)00007-9 · Cited by 2,377
Artificial Neural Networks in Hydrology. II: Hydrologic Applications
ASCE Task Committee on Application of Artificial Neural Networks in Hydrology (2000) · Journal of Hydrologic Engineering · doi:10.1061/(asce)1084-0699(2000)5:2(124 · Cited by 1,339
Statistical Theory and Methodology in Science and Engineering
Lloyd, E. (1961) · Technometrics · doi:10.1080/00401706.1961.10489977 · Cited by 1,063
Statistical Theory and Methodology in Science and Engineering
Dykstra, O. (1965) · Technometrics · doi:10.1080/00401706.1965.10490280 · Cited by 807
Neural Networks for Statistical Modeling
Smith, M. (1993) · Medical Entomology and Zoology · Cited by 762
Prediction of wastewater treatment plant performance using artificial neural networks
Hamed, M. M., Khalafallah, M. G., & Hassanien, E. A. (2004) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2003.10.005 · Cited by 482
Learning in Networks of Cortical Neurons
Shahaf, G., & Marom, S. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-22-08782.2001 · Cited by 399
Feedforward Neural Network Methodology
Rao, M. B. (2000) · Technometrics · doi:10.1080/00401706.2000.10485725 · Cited by 279
Cited by
Prediction of effluent concentration in a wastewater treatment plant using machine learning models
Guo, H., Jeong, K., Lim, J., Jo, J., Kim, Y. M., Park, J.-P., Kim, J. H., & Cho, K. H. (2015) · Journal of Environmental Sciences · doi:10.1016/j.jes.2015.01.007 · Cited by 311
Marchi, M., Niccolucci, V., Pulselli, R. M., & Marchettini, N. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.03.068 · Cited by 65
Zenooz, A. M., Ashtiani, F. Z., Ranjbar, R., Nikbakht, F., & Bolouri, O. (2017) · Preparative Biochemistry & Biotechnology · doi:10.1080/10826068.2016.1275013 · Cited by 24
Metadata
- Authors
- Mjalli, F. S., Al-Asheh, S., & Alfadala, H. E.
- Venue
- Journal of Environmental Management
- Publisher
- Elsevier BV
- Published
- 2007-05
- Volume
- 83
- Issue
- 3
- Pages
- 329-338
- ISSN
- 0301-4797 (ISSN-L)
- OpenAlex
- W1969108904
- Cited by
- 324
- References
- 16
- FWCI
- 10.31
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance. https://app.cochat.ai/papers/10.1016/j.jenvman.2006.03.004
- The paper
- Mjalli, F. S., Al-Asheh, S., & Alfadala, H. E. (2007). Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2006.03.004
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.
