Publication:
A clonal selection algorithm model for daily rainfall data prediction

dc.contributor.authorNoor Rodi N.S.en_US
dc.contributor.authorMalek M.A.en_US
dc.contributor.authorIsmail A.R.en_US
dc.contributor.authorTing S.C.en_US
dc.contributor.authorTang C.-W.en_US
dc.contributor.authorid56451124000en_US
dc.contributor.authorid55636320055en_US
dc.contributor.authorid36995749000en_US
dc.contributor.authorid56338030500en_US
dc.contributor.authorid7404394599en_US
dc.date.accessioned2023-05-16T02:46:42Z
dc.date.available2023-05-16T02:46:42Z
dc.date.issued2014
dc.description.abstractThis study applies the clonal selection algorithm (CSA) in an artificial immune system (AIS) as an alternative method to predicting future rainfall data. The stochastic and the artificial neural network techniques are commonly used in hydrology. However, in this study a novel technique for forecasting rainfall was established. Results from this study have proven that the theory of biological immune systems could be technically applied to time series data. Biological immune systems are nonlinear and chaotic in nature similar to the daily rainfall data. This study discovered that the proposed CSA was able to predict the daily rainfall data with an accuracy of 90% during the model training stage. In the testing stage, the results showed that an accuracy between the actual and the generated data was within the range of 75 to 92%. Thus, the CSA approach shows a new method in rainfall data prediction. © IWA Publishing 2014.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.2166/wst.2014.420
dc.identifier.epage1647
dc.identifier.issue10
dc.identifier.scopus2-s2.0-84918792538
dc.identifier.spage1641
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84918792538&doi=10.2166%2fwst.2014.420&partnerID=40&md5=104247cd572fe2ac82fa1f7eabf0be4f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22018
dc.identifier.volume70
dc.publisherIWA Publishingen_US
dc.sourceScopus
dc.sourcetitleWater Science and Technology
dc.titleA clonal selection algorithm model for daily rainfall data predictionen_US
dc.typeArticleen_US
dspace.entity.typePublication
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