A clonal selection algorithm model for daily rainfall data prediction
This 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 forecasti...
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IWA Publishing
2023
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| author | Noor Rodi N.S. Malek M.A. Ismail A.R. Ting S.C. Tang C.-W. |
| author2 | 56451124000 |
| author_facet | 56451124000 Noor Rodi N.S. Malek M.A. Ismail A.R. Ting S.C. Tang C.-W. |
| author_sort | Noor Rodi N.S. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This 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. |
| format | Article |
| id | my.uniten.dspace-22018 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | IWA Publishing |
| record_format | dspace |
| spelling | my.uniten.dspace-220182023-05-16T10:46:42Z A clonal selection algorithm model for daily rainfall data prediction Noor Rodi N.S. Malek M.A. Ismail A.R. Ting S.C. Tang C.-W. 56451124000 55636320055 36995749000 56338030500 7404394599 This 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. Final 2023-05-16T02:46:42Z 2023-05-16T02:46:42Z 2014 Article 10.2166/wst.2014.420 2-s2.0-84918792538 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84918792538&doi=10.2166%2fwst.2014.420&partnerID=40&md5=104247cd572fe2ac82fa1f7eabf0be4f https://irepository.uniten.edu.my/handle/123456789/22018 70 10 1641 1647 IWA Publishing Scopus |
| spellingShingle | Noor Rodi N.S. Malek M.A. Ismail A.R. Ting S.C. Tang C.-W. A clonal selection algorithm model for daily rainfall data prediction |
| title | A clonal selection algorithm model for daily rainfall data prediction |
| title_full | A clonal selection algorithm model for daily rainfall data prediction |
| title_fullStr | A clonal selection algorithm model for daily rainfall data prediction |
| title_full_unstemmed | A clonal selection algorithm model for daily rainfall data prediction |
| title_short | A clonal selection algorithm model for daily rainfall data prediction |
| title_sort | clonal selection algorithm model for daily rainfall data prediction |
| url_provider | http://dspace.uniten.edu.my/ |