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Zeinalnezhad, M. Chofreh, A.G. Goni, F.A. Klemeš, J.J. Darvishvand, A.M. Vashaghi, K.
Original Title
Forecasting Air Pollution by Adaptive Neuro Fuzzy Inference System
Type
conference paper
Language
English
Original Abstract
Air pollution causes a variety of adverse effects on humans such as illness or even death and damages the living organisms and the natural environment. This environmental issue needs to be controlled using various application and technology to estimate the composition of multiple pollutants in the atmosphere for a specified time and location. The present study aims to develop a system for air pollution forecasting using an adaptive neuro-fuzzy inference system. This method is a type of artificial neural network that integrates both neural networks and fuzzy logic principles. The adaptive neuro-fuzzy inference system calculations include four phases including implement fuzzy system, enter parameters, start the learning process, and verify the processed data. As a sample, the concentrations of atmospheric pollutant data recorded by sensors. The adaptive neuro-fuzzy inference system method predicts four air pollution indicator levels, including carbon monoxide, sulfur dioxide, nitrogen oxides, and trioxygen. The analysis results reveal that the mean absolute error of the adaptive neuro-fuzzy inference system method results is less than 15 %.
Keywords
air pollution; adaptive neuro-fuzzy inference system; forecasting; neural networks; fuzzy logic; EMISSIONS; FRAMEWORK
Authors
Zeinalnezhad, M.; Chofreh, A.G.; Goni, F.A.; Klemeš, J.J.; Darvishvand, A.M.; Vashaghi, K.
Released
1. 8. 2019
Publisher
Institute of Electrical and Electronics Engineers Inc.
ISBN
978-953-290-091-0
Book
2019 4TH INTERNATIONAL CONFERENCE ON SMART AND SUSTAINABLE TECHNOLOGIES (SPLITECH)
Pages from
456
Pages to
458
Pages count
3
BibTex
@inproceedings{BUT162142, author="Zeinalnezhad, M. and Chofreh, A.G. and Goni, F.A. and Klemeš, J.J. and Darvishvand, A.M. and Vashaghi, K.", title="Forecasting Air Pollution by Adaptive Neuro Fuzzy Inference System", booktitle="2019 4TH INTERNATIONAL CONFERENCE ON SMART AND SUSTAINABLE TECHNOLOGIES (SPLITECH)", year="2019", pages="456--458", publisher="Institute of Electrical and Electronics Engineers Inc.", doi="10.23919/SpliTech.2019.8783075", isbn="978-953-290-091-0" }