Hybrid seasonal ARIMA and artificial neural network in forecasting southeast asia city air pollutant index

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Hybrid seasonal ARIMA and artificial neural network in forecasting southeast asia city air pollutant index

The rise of air pollution has received much attention globally. As an early warning system for air quality control and management, it is important to provide precise future concentrations pollutant information. Using time series forecasting methods, the forecast of daily Air Pollutant Index (API) is...

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Bibliographic Details
Main Authors:	Abd Rahman, Nur Haizum, Lee, Muhammad Hisyam, Suhartono, Latif, Mohd Talib
Format:	Article
Language:	English
Published:	Academy of Sciences Malaysia 2019
Online Access:	http://psasir.upm.edu.my/id/eprint/80111/ http://psasir.upm.edu.my/id/eprint/80111/1/Hybrid%20Seasonal%20ARIMA%20and%20Artificial%20Neural%20Network%20in%20Forecasting%20Southeast%20Asia%20City%20Air%20Pollutant%20Index.pdf

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