Design and Simulation of Nonlinear Adaptive Filters to Forecast Air Pollution

Jagadeesh Hallur, Vijayalaxmi Jain, Neelam Hande, Vrushali waghmare
Volume 3: Issue 3, Dec 2016, pp 36-40


Author's Information
Jagadeesh Hallur1 
Corresponding Author
1Dr. D. Y. Patil School of Engineering & Technology, Lohegaon, Pune, India.
jagdeesh.hallur@dypic.in

Vijayalaxmi Jain, Neelam Hande, Vrushali waghmare2
2Dr. D. Y. Patil School of Engineering & Technology, Lohegaon, Pune, India.


Reserch Article -- Peer Reviewed
Published online – 30 December 2016

Open Access article under Creative Commons License

Cite this article – Jagadeesh Hallur, Vijayalaxmi Jain, Neelam Hande, Vrushali waghmare, “Design and Simulation of Nonlinear Adaptive Filters to Forecast Air Pollution”, International Journal of Analytical, Experimental and Finite Element Analysis, RAME Publishers, vol. 3, issue 3, pp. 36-40, Dec 2016.
ark:/13960/t3hz18f1x


Abstract:-
Due to the modern living style, Industrialization and growth of vehicles on the road air pollution is becoming a major problem especially in Urban and Metropolitans cities. If correct & accurate prediction & precautions are taken for the air polluting components then it can be controlled to some extent. Here the previous values of air polluting components are used as knowledge base which is obtained based on 3 seasons i.e. (summer, winter, rainy). Using the Non-Linear Adaptive filtering and Artificial Neural Network (ANN) the prediction of particular day is made.
Index Terms:-
Artificial Neural Network (ANN)
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