Immune network algorithm in monthly streamflow prediction at Johor river

This study proposes an alternative method in generating future stream flow data with single-point river stage. Prediction of stream flow data is important in water resources engineering for planning and design purposes in order to estimate long term forecasting. This paper utilizes Artificial Immu...

Full description

Bibliographic Details
Main Authors:	Mat Ali, Nur Izzah, Abdul Malek, Marlinda, Ismail, Amelia Ritahani
Format:	Article
Language:	English English
Published:	Asian Research Publishing Network (ARPN) 2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/43602/ http://irep.iium.edu.my/43602/ http://irep.iium.edu.my/43602/1/IMMUNE_NETWORK_ALGORITHM_IN_MONTHLY_STREAMFLOWl.pdf http://irep.iium.edu.my/43602/4/43602_Immune%20network%20algorithm%20in%20monthly_SCOPUS.pdf

id	iium-43602
recordtype	eprints
spelling	iium-436022017-11-09T09:24:48Z http://irep.iium.edu.my/43602/ Immune network algorithm in monthly streamflow prediction at Johor river Mat Ali, Nur Izzah Abdul Malek, Marlinda Ismail, Amelia Ritahani QA75 Electronic computers. Computer science This study proposes an alternative method in generating future stream flow data with single-point river stage. Prediction of stream flow data is important in water resources engineering for planning and design purposes in order to estimate long term forecasting. This paper utilizes Artificial Immune System (AIS) in modelling the stream flow of one stations of Johor River. AIS has the abilities of self-organizing, memory, recognition, adaptive and ability of learning inspired from the immune system. Immune Network Algorithm is part of the three main algorithm in AIS. The model of Immune Network Algorithm used in this study is aiNet. The training process in aiNet is partly inspired by clonal selection principle and the other part uses antibody interactions for removing redundancy and finding data patterns. Like any other traditional statistical and stochastic techniques, results from this study, exhibit that, Immune Network Algorithm is capable of producing future stream flow data at monthly duration with various advantages. Asian Research Publishing Network (ARPN) 2015-02 Article PeerReviewed application/pdf en http://irep.iium.edu.my/43602/1/IMMUNE_NETWORK_ALGORITHM_IN_MONTHLY_STREAMFLOWl.pdf application/pdf en http://irep.iium.edu.my/43602/4/43602_Immune%20network%20algorithm%20in%20monthly_SCOPUS.pdf Mat Ali, Nur Izzah and Abdul Malek, Marlinda and Ismail, Amelia Ritahani (2015) Immune network algorithm in monthly streamflow prediction at Johor river. ARPN Journal of Engineering and Applied Sciences, 10 (3). pp. 1352-1356. ISSN 1819-6608 http://www.arpnjournals.com/jeas/research_papers/rp_2015/jeas_0215_1601.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Mat Ali, Nur Izzah Abdul Malek, Marlinda Ismail, Amelia Ritahani Immune network algorithm in monthly streamflow prediction at Johor river
description	This study proposes an alternative method in generating future stream flow data with single-point river stage. Prediction of stream flow data is important in water resources engineering for planning and design purposes in order to estimate long term forecasting. This paper utilizes Artificial Immune System (AIS) in modelling the stream flow of one stations of Johor River. AIS has the abilities of self-organizing, memory, recognition, adaptive and ability of learning inspired from the immune system. Immune Network Algorithm is part of the three main algorithm in AIS. The model of Immune Network Algorithm used in this study is aiNet. The training process in aiNet is partly inspired by clonal selection principle and the other part uses antibody interactions for removing redundancy and finding data patterns. Like any other traditional statistical and stochastic techniques, results from this study, exhibit that, Immune Network Algorithm is capable of producing future stream flow data at monthly duration with various advantages.
format	Article
author	Mat Ali, Nur Izzah Abdul Malek, Marlinda Ismail, Amelia Ritahani
author_facet	Mat Ali, Nur Izzah Abdul Malek, Marlinda Ismail, Amelia Ritahani
author_sort	Mat Ali, Nur Izzah
title	Immune network algorithm in monthly streamflow prediction at Johor river
title_short	Immune network algorithm in monthly streamflow prediction at Johor river
title_full	Immune network algorithm in monthly streamflow prediction at Johor river
title_fullStr	Immune network algorithm in monthly streamflow prediction at Johor river
title_full_unstemmed	Immune network algorithm in monthly streamflow prediction at Johor river
title_sort	immune network algorithm in monthly streamflow prediction at johor river
publisher	Asian Research Publishing Network (ARPN)
publishDate	2015
url	http://irep.iium.edu.my/43602/ http://irep.iium.edu.my/43602/ http://irep.iium.edu.my/43602/1/IMMUNE_NETWORK_ALGORITHM_IN_MONTHLY_STREAMFLOWl.pdf http://irep.iium.edu.my/43602/4/43602_Immune%20network%20algorithm%20in%20monthly_SCOPUS.pdf
first_indexed	2023-09-18T21:02:07Z
last_indexed	2023-09-18T21:02:07Z
_version_	1777410693247533056

Immune network algorithm in monthly streamflow prediction at Johor river

Similar Items