Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman

Palm oil plays a dominant role in the world of vegetables oils export market as now export of palm oil has become one of the biggest export in Malaysia. As the increasing in the number of demand of the palm oil from other countries, the forecasting of the number of the export of palm oil has become...

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Main Author:	Lukman, Nur Ashyda
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Neural networks (Computer science) Algorithms
Online Access:	http://ir.uitm.edu.my/id/eprint/25203/ http://ir.uitm.edu.my/id/eprint/25203/1/TD_NUR%20ASHYDA%20LUKMAN%20CS%20R%2019_5.pdf

id	uitm-25203
recordtype	eprints
spelling	uitm-252032019-08-26T06:53:29Z http://ir.uitm.edu.my/id/eprint/25203/ Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman Lukman, Nur Ashyda Neural networks (Computer science) Algorithms Palm oil plays a dominant role in the world of vegetables oils export market as now export of palm oil has become one of the biggest export in Malaysia. As the increasing in the number of demand of the palm oil from other countries, the forecasting of the number of the export of palm oil has become an essential. An accurate forecasting of palm oil export is important especially because when dealing with other countries we need to keep up decent image and good name of our country. This study apply Artificial Neural Network (ANN) in forecasting the export of the palm oil in Malaysia. Monthly data from January 2013 to August 2018 that was obtained from Malaysian Palm Oil Board (MPOB) was used in this study. Quick Propagation (QP) algorithm, Conjugate Gradient Descent (GCD) algorithm, Quasi-Newton (QN) algorithm, and Levenberg-Marquardt (LM) algorithm was used in this study. Gradient Descent (GCD) algorithm was concluded as the most suitable algorithm based on the value of error measure. The value of the forecasted also shows an increasing value as it was suitable to used ANN in forecasting the export of palm oil. 2019-08-16 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/25203/1/TD_NUR%20ASHYDA%20LUKMAN%20CS%20R%2019_5.pdf Lukman, Nur Ashyda (2019) Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman. Degree thesis, Universiti Teknologi Mara Perlis.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Neural networks (Computer science) Algorithms
spellingShingle	Neural networks (Computer science) Algorithms Lukman, Nur Ashyda Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman
description	Palm oil plays a dominant role in the world of vegetables oils export market as now export of palm oil has become one of the biggest export in Malaysia. As the increasing in the number of demand of the palm oil from other countries, the forecasting of the number of the export of palm oil has become an essential. An accurate forecasting of palm oil export is important especially because when dealing with other countries we need to keep up decent image and good name of our country. This study apply Artificial Neural Network (ANN) in forecasting the export of the palm oil in Malaysia. Monthly data from January 2013 to August 2018 that was obtained from Malaysian Palm Oil Board (MPOB) was used in this study. Quick Propagation (QP) algorithm, Conjugate Gradient Descent (GCD) algorithm, Quasi-Newton (QN) algorithm, and Levenberg-Marquardt (LM) algorithm was used in this study. Gradient Descent (GCD) algorithm was concluded as the most suitable algorithm based on the value of error measure. The value of the forecasted also shows an increasing value as it was suitable to used ANN in forecasting the export of palm oil.
format	Thesis
author	Lukman, Nur Ashyda
author_facet	Lukman, Nur Ashyda
author_sort	Lukman, Nur Ashyda
title	Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman
title_short	Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman
title_full	Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman
title_fullStr	Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman
title_full_unstemmed	Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman
title_sort	forecasting of palm oil export in malaysia using : artificial neural network / nur ashyda lukman
publishDate	2019
url	http://ir.uitm.edu.my/id/eprint/25203/ http://ir.uitm.edu.my/id/eprint/25203/1/TD_NUR%20ASHYDA%20LUKMAN%20CS%20R%2019_5.pdf
first_indexed	2023-09-18T23:14:17Z
last_indexed	2023-09-18T23:14:17Z
_version_	1777419007636275200

Forecasting of palm oil export in Malaysia using : artificial neural network / Nur Ashyda Lukman

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