Daily rainfall prediction using clonal selection algorithm

Daily rainfall prediction is important in water resources management in order to estimate long term forecasting for future usage. This paper utilizes Artificial Immune System (AIS) algorithm for daily rainfall prediction where rainfall is used as input nodes. AIS have the abilities of self-organi...

Full description

Bibliographic Details
Main Authors:	Noor Rodi, Nur Syazwani, Ismail , Amelia Ritahani, Abdul Malik, Marlinda
Format:	Conference or Workshop Item
Language:	English English
Published:	2012
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/28575/ http://irep.iium.edu.my/28575/1/Fullpaper_ICWR.pdf http://irep.iium.edu.my/28575/2/AcceptanceLetter-ICWR-shazwani.pdf

id	iium-28575
recordtype	eprints
spelling	iium-285752013-07-03T12:25:35Z http://irep.iium.edu.my/28575/ Daily rainfall prediction using clonal selection algorithm Noor Rodi, Nur Syazwani Ismail , Amelia Ritahani Abdul Malik, Marlinda QA75 Electronic computers. Computer science Daily rainfall prediction is important in water resources management in order to estimate long term forecasting for future usage. This paper utilizes Artificial Immune System (AIS) algorithm for daily rainfall prediction where rainfall is used as input nodes. AIS have the abilities of self-organizing, memory, recognition, adaptive and learning, inspire from the immune system. Immune system is a system in our body which consists of a complex set of cells and molecules that protect our bodies against infection. There are three mains algorithm in AIS which are Clonal Selection Algorithm (CSA), Immune Network Algorithm and Negative Selection Algorithm. This study focuses on development of daily rainfall prediction model using CSA adapted from clonal selection theory in human being and animal immune system. The common use of Clonal Selection Algorithm is to randomly generate the antibodies in the population. From the experiment, the results obtained more than 90% accuracy by using 100, 500 and 1000 numbers of detector which is promising that CSA can be a good predictor algorithm. 2012-11-05 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/28575/1/Fullpaper_ICWR.pdf application/pdf en http://irep.iium.edu.my/28575/2/AcceptanceLetter-ICWR-shazwani.pdf Noor Rodi, Nur Syazwani and Ismail , Amelia Ritahani and Abdul Malik, Marlinda (2012) Daily rainfall prediction using clonal selection algorithm. In: International Conference on Water Resources (ICWR 2012), 5-9 November 2012, BayView Hotel, Langkawi, Kedah. (In Press)
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 Noor Rodi, Nur Syazwani Ismail , Amelia Ritahani Abdul Malik, Marlinda Daily rainfall prediction using clonal selection algorithm
description	Daily rainfall prediction is important in water resources management in order to estimate long term forecasting for future usage. This paper utilizes Artificial Immune System (AIS) algorithm for daily rainfall prediction where rainfall is used as input nodes. AIS have the abilities of self-organizing, memory, recognition, adaptive and learning, inspire from the immune system. Immune system is a system in our body which consists of a complex set of cells and molecules that protect our bodies against infection. There are three mains algorithm in AIS which are Clonal Selection Algorithm (CSA), Immune Network Algorithm and Negative Selection Algorithm. This study focuses on development of daily rainfall prediction model using CSA adapted from clonal selection theory in human being and animal immune system. The common use of Clonal Selection Algorithm is to randomly generate the antibodies in the population. From the experiment, the results obtained more than 90% accuracy by using 100, 500 and 1000 numbers of detector which is promising that CSA can be a good predictor algorithm.
format	Conference or Workshop Item
author	Noor Rodi, Nur Syazwani Ismail , Amelia Ritahani Abdul Malik, Marlinda
author_facet	Noor Rodi, Nur Syazwani Ismail , Amelia Ritahani Abdul Malik, Marlinda
author_sort	Noor Rodi, Nur Syazwani
title	Daily rainfall prediction using clonal selection algorithm
title_short	Daily rainfall prediction using clonal selection algorithm
title_full	Daily rainfall prediction using clonal selection algorithm
title_fullStr	Daily rainfall prediction using clonal selection algorithm
title_full_unstemmed	Daily rainfall prediction using clonal selection algorithm
title_sort	daily rainfall prediction using clonal selection algorithm
publishDate	2012
url	http://irep.iium.edu.my/28575/ http://irep.iium.edu.my/28575/1/Fullpaper_ICWR.pdf http://irep.iium.edu.my/28575/2/AcceptanceLetter-ICWR-shazwani.pdf
first_indexed	2023-09-18T20:42:06Z
last_indexed	2023-09-18T20:42:06Z
_version_	1777409433578504192

Daily rainfall prediction using clonal selection algorithm

Similar Items