Staff View: A comparison of Autoregressive Moving Average (ARMA)and Neural Network Models for sulfur dioxide forecasting at Bukit Rambai, Melaka [Malaysia]

A comparison of Autoregressive Moving Average (ARMA)and Neural Network Models for sulfur dioxide forecasting at Bukit Rambai, Melaka [Malaysia]

Time series ARMA and neural network models (namely backpropagation models), each designed to forecast future sulfur dioxide (SO2) values in Sungai Rambai,were compared in this work. Six months historical (May-October,1996) SO2 data were obtained from the ASMA station at Bukit Rambai Inustrial Park a...

Full description

Saved in:

Bibliographic Details
Main Authors:	Hafizan Juahir, Sharifuddin M. Zain, M. Nazari Jaafar, M. Talib Latif, Zainol Mustafa
Format:	Proceedings Paper
Language:	English
Published:	Penerbit Universiti Sains Malaysia 2015
Subjects:	SULPHUR DIOXIDE FORECASTING AIR POLLUTION RIVERS TIME SERIES ANALYSIS ANALYTICAL METHODS ENVIRONMENTAL IMPACT HEALTH HAZARDS MALAYSIA DIOXYDE DE SOUFRE TECHNIQUE DE PREVISION POLLUTION ATMOSPHERIQUE COURS D`EAU ANALYSE DE SERIES CHRONOLOGIQUES TECHNIQUE ANALYTIQUE IMPACT SUR L`ENVIRONNEMENT DANGER POUR LA SANTE MALAISIE DIOXIDO DE AZUFRE TECNICAS DE PREDICCION POLUCION DEL AIRE CURSOS DE AGUA ANALISIS DE SERIES CRONOLOGICAS TECNICAS ANALITICAS IMPACTO AMBIENTAL PELIGRO PARA LA SALUD MALASIA
Online Access:	http://agris.upm.edu.my:8080/dspace/handle/0/10049
Tags:	Add Tag No Tags, Be the first to tag this record!

id	oai:http:--agris.upm.edu.my:0-10049
record_format	dspace
spelling	oai:http:--agris.upm.edu.my:0-10049A comparison of Autoregressive Moving Average (ARMA)and Neural Network Models for sulfur dioxide forecasting at Bukit Rambai, Melaka [Malaysia]Hafizan JuahirSharifuddin M. ZainM. Nazari JaafarM. Talib LatifZainol MustafaSULPHUR DIOXIDEFORECASTINGAIR POLLUTIONRIVERSTIME SERIES ANALYSISANALYTICAL METHODSENVIRONMENTAL IMPACTHEALTH HAZARDSMALAYSIADIOXYDE DE SOUFRETECHNIQUE DE PREVISIONPOLLUTION ATMOSPHERIQUECOURS D`EAUANALYSE DE SERIES CHRONOLOGIQUESTECHNIQUE ANALYTIQUEIMPACT SUR L`ENVIRONNEMENTDANGER POUR LA SANTEMALAISIEDIOXIDO DE AZUFRETECNICAS DE PREDICCIONPOLUCION DEL AIRECURSOS DE AGUAANALISIS DE SERIES CRONOLOGICASTECNICAS ANALITICASIMPACTO AMBIENTALPELIGRO PARA LA SALUDMALASIATime series ARMA and neural network models (namely backpropagation models), each designed to forecast future sulfur dioxide (SO2) values in Sungai Rambai,were compared in this work. Six months historical (May-October,1996) SO2 data were obtained from the ASMA station at Bukit Rambai Inustrial Park and were used to build these models. The time series ARMA model and neural network model are able to simulate well the historical SO2 data. The simulated values of SO2 were compared with the actual values of the training data and it is found that the neural network model is marginally better in simulating SO2 values compared to the ARMA model. The ARMA model gave a correlation coefficient of 0.77062 while the ANN model gave a correlation coefficient of 0.88326 for the training data. The future values of SO2 can then be predicted from these models.Penerbit Universiti Sains MalaysiaPenang, Malaysia2015-10-05T01:41:24Z2015-10-05T01:41:24Z2003Proceedings PaperArticleNon-RefereedEcological and Environmental Modelling (ECOMOD 2001): Proceedings of the National Workshop: Pulau Pinang (Malaysia), 3-4 Sep 2001, p. 147-156983-861-245-6http://agris.upm.edu.my:8080/dspace/handle/0/10049MY2005050236enhttp://www.oceandocs.org/license
institution	AGRIS
collection	AGRIS
language	English
topic	SULPHUR DIOXIDE FORECASTING AIR POLLUTION RIVERS TIME SERIES ANALYSIS ANALYTICAL METHODS ENVIRONMENTAL IMPACT HEALTH HAZARDS MALAYSIA DIOXYDE DE SOUFRE TECHNIQUE DE PREVISION POLLUTION ATMOSPHERIQUE COURS D`EAU ANALYSE DE SERIES CHRONOLOGIQUES TECHNIQUE ANALYTIQUE IMPACT SUR L`ENVIRONNEMENT DANGER POUR LA SANTE MALAISIE DIOXIDO DE AZUFRE TECNICAS DE PREDICCION POLUCION DEL AIRE CURSOS DE AGUA ANALISIS DE SERIES CRONOLOGICAS TECNICAS ANALITICAS IMPACTO AMBIENTAL PELIGRO PARA LA SALUD MALASIA
spellingShingle	SULPHUR DIOXIDE FORECASTING AIR POLLUTION RIVERS TIME SERIES ANALYSIS ANALYTICAL METHODS ENVIRONMENTAL IMPACT HEALTH HAZARDS MALAYSIA DIOXYDE DE SOUFRE TECHNIQUE DE PREVISION POLLUTION ATMOSPHERIQUE COURS D`EAU ANALYSE DE SERIES CHRONOLOGIQUES TECHNIQUE ANALYTIQUE IMPACT SUR L`ENVIRONNEMENT DANGER POUR LA SANTE MALAISIE DIOXIDO DE AZUFRE TECNICAS DE PREDICCION POLUCION DEL AIRE CURSOS DE AGUA ANALISIS DE SERIES CRONOLOGICAS TECNICAS ANALITICAS IMPACTO AMBIENTAL PELIGRO PARA LA SALUD MALASIA Hafizan Juahir Sharifuddin M. Zain M. Nazari Jaafar M. Talib Latif Zainol Mustafa A comparison of Autoregressive Moving Average (ARMA)and Neural Network Models for sulfur dioxide forecasting at Bukit Rambai, Melaka [Malaysia]
description	Time series ARMA and neural network models (namely backpropagation models), each designed to forecast future sulfur dioxide (SO2) values in Sungai Rambai,were compared in this work. Six months historical (May-October,1996) SO2 data were obtained from the ASMA station at Bukit Rambai Inustrial Park and were used to build these models. The time series ARMA model and neural network model are able to simulate well the historical SO2 data. The simulated values of SO2 were compared with the actual values of the training data and it is found that the neural network model is marginally better in simulating SO2 values compared to the ARMA model. The ARMA model gave a correlation coefficient of 0.77062 while the ANN model gave a correlation coefficient of 0.88326 for the training data. The future values of SO2 can then be predicted from these models.
format	Proceedings Paper
author	Hafizan Juahir Sharifuddin M. Zain M. Nazari Jaafar M. Talib Latif Zainol Mustafa
author_facet	Hafizan Juahir Sharifuddin M. Zain M. Nazari Jaafar M. Talib Latif Zainol Mustafa
author_sort	Hafizan Juahir
title	A comparison of Autoregressive Moving Average (ARMA)and Neural Network Models for sulfur dioxide forecasting at Bukit Rambai, Melaka [Malaysia]
title_short	A comparison of Autoregressive Moving Average (ARMA)and Neural Network Models for sulfur dioxide forecasting at Bukit Rambai, Melaka [Malaysia]
title_full	A comparison of Autoregressive Moving Average (ARMA)and Neural Network Models for sulfur dioxide forecasting at Bukit Rambai, Melaka [Malaysia]
title_fullStr	A comparison of Autoregressive Moving Average (ARMA)and Neural Network Models for sulfur dioxide forecasting at Bukit Rambai, Melaka [Malaysia]
title_full_unstemmed	A comparison of Autoregressive Moving Average (ARMA)and Neural Network Models for sulfur dioxide forecasting at Bukit Rambai, Melaka [Malaysia]
title_sort	comparison of autoregressive moving average (arma)and neural network models for sulfur dioxide forecasting at bukit rambai, melaka [malaysia]
publisher	Penerbit Universiti Sains Malaysia
publishDate	2015
url	http://agris.upm.edu.my:8080/dspace/handle/0/10049
_version_	1782770512408084480
score	12.935284

A comparison of Autoregressive Moving Average (ARMA)and Neural Network Models for sulfur dioxide forecasting at Bukit Rambai, Melaka [Malaysia]

Similar Items