Modeling and prediction of water quality parameters using a hybrid particle swarm optimization–neural fuzzy approach
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Title
Modeling and prediction of water quality parameters using a hybrid particle swarm optimization–neural fuzzy approach
Authors
Keywords
Inorganic indicators, Water quality, Adaptive network-based fuzzy inference system, Particle swarm optimization, Modeling
Journal
International Journal of Environmental Science and Technology
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-07-11
DOI
10.1007/s13762-018-1896-3
References
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