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...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/28575/1/Fullpaper_ICWR.pdf http://irep.iium.edu.my/28575/2/AcceptanceLetter-ICWR-shazwani.pdf http://irep.iium.edu.my/28575/ |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English |
| Summary: | 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. |
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