Evaluating air quality using adaptive Neuro - Fuzzy Inference System

The quality of air is very important to living beings on the earth. In this research paper, a model is developed for the ealuation of air quality called Adaptive Neuro-Fuzzy Inference System (ANFIS). The four air pollution variables: SO2, NO2, RSPM, and TSPM of Chennai city from 2006 to 2008 are use...

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Bibliographic Details
Main Authors: Kumaravel R., Sudarsan J.S., Reymond D., Justus, Prasanna K., Babu R., Shiam
Format: Conference Proceeding
Language:English
Subjects:
Adaptive systems
Air quality
Artificial neural networks
Fuzzy logic
Inference
Nitrogen dioxide
Scientific papers
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Summary:The quality of air is very important to living beings on the earth. In this research paper, a model is developed for the ealuation of air quality called Adaptive Neuro-Fuzzy Inference System (ANFIS). The four air pollution variables: SO2, NO2, RSPM, and TSPM of Chennai city from 2006 to 2008 are used in the development of the ANFIS model. The implied model is reciprocated alongside the Indian air quality index (IAQI), and it is ascertained such so the implicate model resulted with acknowledging the legitimate prevision of air quality.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0108534