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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...

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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
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http://agris.upm.edu.my:8080/dspace/handle/0/10049

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