Immune network algorithm in monthly streamflow prediction at Johor river

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	4296/43602
Uncontrolled Keywords:	immune network algorithm, artificial immune system, streamflow prediction
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Amelia Ritahani Ismail
Date Deposited:	14 Jul 2015 09:11
Last Modified:	09 Nov 2017 17:24
URI:	http://irep.iium.edu.my/id/eprint/43602

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