Estimation of air pollutant index (API) in Klang valley using artificial neural network (ANN) / Roshaslinie Amdam @ Ramli

The air pollution problems has received more attention during the last decades whereby there has been a significant increase in public awareness of the potential dangers caused by chemical pollutants and their effects both human beings and the environment. To overcome these problems, the need for ac...

Full description

Saved in:

Bibliographic Details
Main Author:	Amdam @ Ramli, Roshaslinie
Format:	Thesis
Language:	English
Published:	2009
Subjects:	Neural Networks (Computer) Artificial intelligence
Online Access:	https://ir.uitm.edu.my/id/eprint/69109/1/69109.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.69109
record_format	uketd_dc
spelling	my-uitm-ir.691092023-02-02T15:06:38Z Estimation of air pollutant index (API) in Klang valley using artificial neural network (ANN) / Roshaslinie Amdam @ Ramli 2009 Amdam @ Ramli, Roshaslinie Neural Networks (Computer). Artificial intelligence The air pollution problems has received more attention during the last decades whereby there has been a significant increase in public awareness of the potential dangers caused by chemical pollutants and their effects both human beings and the environment. To overcome these problems, the need for accurate estimates of air pollutant index (API) becomes important. To achieve such estimation tasks, the use of artificial neural network (ANN) is regarded as an effective technique. The purpose of this paper, ANN trained with feed-forward back-propagation algorithm is used to estimate the air pollutant index (API). The API system normally includes the major air pollutants which are ozone (O3), carbon monoxide (CO), nitrogen dioxide (NO2), sulphur dioxide (SO2) and suspended particulate matter of less than 10 microns in size (PM10). This method uses the past raw data values to estimate the API. The data collected comprises of data for the previous three month, beginning from October 2006 for Klang Valley areas which are Shah Alam, Klang, Petaling Jaya and Kuala Lumpur. The results indicate that the ANN model estimated API with good accuracy to more than 90%. 2009 Thesis https://ir.uitm.edu.my/id/eprint/69109/ https://ir.uitm.edu.my/id/eprint/69109/1/69109.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Hamzah, Norhayati
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Hamzah, Norhayati
topic	Neural Networks (Computer) Artificial intelligence
spellingShingle	Neural Networks (Computer) Artificial intelligence Amdam @ Ramli, Roshaslinie Estimation of air pollutant index (API) in Klang valley using artificial neural network (ANN) / Roshaslinie Amdam @ Ramli
description	The air pollution problems has received more attention during the last decades whereby there has been a significant increase in public awareness of the potential dangers caused by chemical pollutants and their effects both human beings and the environment. To overcome these problems, the need for accurate estimates of air pollutant index (API) becomes important. To achieve such estimation tasks, the use of artificial neural network (ANN) is regarded as an effective technique. The purpose of this paper, ANN trained with feed-forward back-propagation algorithm is used to estimate the air pollutant index (API). The API system normally includes the major air pollutants which are ozone (O3), carbon monoxide (CO), nitrogen dioxide (NO2), sulphur dioxide (SO2) and suspended particulate matter of less than 10 microns in size (PM10). This method uses the past raw data values to estimate the API. The data collected comprises of data for the previous three month, beginning from October 2006 for Klang Valley areas which are Shah Alam, Klang, Petaling Jaya and Kuala Lumpur. The results indicate that the ANN model estimated API with good accuracy to more than 90%.
format	Thesis
qualification_level	Bachelor degree
author	Amdam @ Ramli, Roshaslinie
author_facet	Amdam @ Ramli, Roshaslinie
author_sort	Amdam @ Ramli, Roshaslinie
title	Estimation of air pollutant index (API) in Klang valley using artificial neural network (ANN) / Roshaslinie Amdam @ Ramli
title_short	Estimation of air pollutant index (API) in Klang valley using artificial neural network (ANN) / Roshaslinie Amdam @ Ramli
title_full	Estimation of air pollutant index (API) in Klang valley using artificial neural network (ANN) / Roshaslinie Amdam @ Ramli
title_fullStr	Estimation of air pollutant index (API) in Klang valley using artificial neural network (ANN) / Roshaslinie Amdam @ Ramli
title_full_unstemmed	Estimation of air pollutant index (API) in Klang valley using artificial neural network (ANN) / Roshaslinie Amdam @ Ramli
title_sort	estimation of air pollutant index (api) in klang valley using artificial neural network (ann) / roshaslinie amdam @ ramli
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2009
url	https://ir.uitm.edu.my/id/eprint/69109/1/69109.pdf
_version_	1783735845189058560

Estimation of air pollutant index (API) in Klang valley using artificial neural network (ANN) / Roshaslinie Amdam @ Ramli

Similar Items