Prediction of the level of air pollution using adaptive neuro-fuzzy inference system
Author:
Funder
Rusa2.0
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15046-0.pdf
Reference31 articles.
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3. Dincer NG, Akkuş O (2018) A new fuzzy time series model based on robust clustering for forecasting of air pollution. Ecol Inform 43:157–164
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5. Fan J, Wu L, Zhang F, Cai H, Wang X, Lu X, Xiang Y (2018) Evaluating the effect of air pollution on global and diffuse solar radiation prediction using support vector machine modeling based on sunshine duration and air temperature. Renew Sustain Energy Rev 94:732–747
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