Modeling surface water quality using the adaptive neuro-fuzzy inference system aided by input optimization

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Shah, MI, Abunama, T, Javed, MF, Bux, F, Aldrees, A, Tariq, Muhammad Atiq Ur Rehman ORCID: 0000-0002-0226-7310 and Mosavi, A (2021) Modeling surface water quality using the adaptive neuro-fuzzy inference system aided by input optimization. Sustainability (Switzerland), 13 (8). ISSN 2071-1050

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/44524
DOI https://doi.org/10.3390/su13084576
Official URL https://www.mdpi.com/2071-1050/13/8/4576
Subjects Current > FOR (2020) Classification > 4005 Civil engineering
Current > Division/Research > College of Science and Engineering
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords soft computing techniques, environmental protection, predictive models, Artificial intelligence, Big data, Hydrology, Input optimiza-tion, Machine learning, neuro-fuzzy, Outlier detection, Surface water quality, Water quality management
Citations in Scopus 21 - View on Scopus
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