Prediction of monthly rainfall at Senai, Johor using artificial immune system and deep learning neural network
In order to obtain good accuracy for the prediction of rainfall, this paper developed the Clonal Selection Algorithm (CSA) as a model for monthly rainfall prediction at Senai, Johor, Malaysia. CSA is one of the main algorithms in the Artificial Immune System. The results were compared with an establ...
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| Format: | Article |
| Language: | English English |
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Mattingley Publishing
2020
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| Online Access: | http://irep.iium.edu.my/82236/ http://irep.iium.edu.my/82236/1/82236_Prediction%20of%20monthly%20rainfall%20at%20SENAI_ft.pdf http://irep.iium.edu.my/82236/2/82236_Prediction%20of%20monthly%20rainfall%20at%20SENAI_scopus.pdf |
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| author | Noor Rodi, Nur Syazwani Abdul Malek, Marlinda Zaini, Nur’Atiah A. Ismail, Amelia Ritahani M. Hisham, Mohd Hizwan |
| author_facet | Noor Rodi, Nur Syazwani Abdul Malek, Marlinda Zaini, Nur’Atiah A. Ismail, Amelia Ritahani M. Hisham, Mohd Hizwan |
| author_sort | Noor Rodi, Nur Syazwani |
| building | IIUM Repository |
| collection | Online Access |
| description | In order to obtain good accuracy for the prediction of rainfall, this paper developed the Clonal Selection Algorithm (CSA) as a model for monthly rainfall prediction at Senai, Johor, Malaysia. CSA is one of the main algorithms in the Artificial Immune System. The results were compared with an established model for prediction which is the deep Multilayer Perceptron (MLP) algorithm. MLP is a deep learning algorithm used in the Artificial Neural Network (ANN). The algorithms were modelled using rainfall historical data with four input meteorological variables which are humidity, wind speed, pressure and temperature over the period of 1987 to 2017. The result shows that CSA obtained better prediction accuracy compared to MLP. CSA was applied successfully for the prediction of a continuous time series data with a high variable in nature. |
| first_indexed | 2025-11-14T17:53:57Z |
| format | Article |
| id | iium-82236 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:53:57Z |
| publishDate | 2020 |
| publisher | Mattingley Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-822362020-08-17T08:36:01Z http://irep.iium.edu.my/82236/ Prediction of monthly rainfall at Senai, Johor using artificial immune system and deep learning neural network Noor Rodi, Nur Syazwani Abdul Malek, Marlinda Zaini, Nur’Atiah A. Ismail, Amelia Ritahani M. Hisham, Mohd Hizwan Q Science (General) TA Engineering (General). Civil engineering (General) TK7885 Computer engineering In order to obtain good accuracy for the prediction of rainfall, this paper developed the Clonal Selection Algorithm (CSA) as a model for monthly rainfall prediction at Senai, Johor, Malaysia. CSA is one of the main algorithms in the Artificial Immune System. The results were compared with an established model for prediction which is the deep Multilayer Perceptron (MLP) algorithm. MLP is a deep learning algorithm used in the Artificial Neural Network (ANN). The algorithms were modelled using rainfall historical data with four input meteorological variables which are humidity, wind speed, pressure and temperature over the period of 1987 to 2017. The result shows that CSA obtained better prediction accuracy compared to MLP. CSA was applied successfully for the prediction of a continuous time series data with a high variable in nature. Mattingley Publishing 2020-04-16 Article PeerReviewed application/pdf en http://irep.iium.edu.my/82236/1/82236_Prediction%20of%20monthly%20rainfall%20at%20SENAI_ft.pdf application/pdf en http://irep.iium.edu.my/82236/2/82236_Prediction%20of%20monthly%20rainfall%20at%20SENAI_scopus.pdf Noor Rodi, Nur Syazwani and Abdul Malek, Marlinda and Zaini, Nur’Atiah A. and Ismail, Amelia Ritahani and M. Hisham, Mohd Hizwan (2020) Prediction of monthly rainfall at Senai, Johor using artificial immune system and deep learning neural network. Test Engineering and Management, 83. pp. 11740-11746. ISSN 0193-4120 http://www.testmagzine.biz/index.php/testmagzine/issue/view/8 |
| spellingShingle | Q Science (General) TA Engineering (General). Civil engineering (General) TK7885 Computer engineering Noor Rodi, Nur Syazwani Abdul Malek, Marlinda Zaini, Nur’Atiah A. Ismail, Amelia Ritahani M. Hisham, Mohd Hizwan Prediction of monthly rainfall at Senai, Johor using artificial immune system and deep learning neural network |
| title | Prediction of monthly rainfall at Senai, Johor using artificial immune system and deep learning neural network |
| title_full | Prediction of monthly rainfall at Senai, Johor using artificial immune system and deep learning neural network |
| title_fullStr | Prediction of monthly rainfall at Senai, Johor using artificial immune system and deep learning neural network |
| title_full_unstemmed | Prediction of monthly rainfall at Senai, Johor using artificial immune system and deep learning neural network |
| title_short | Prediction of monthly rainfall at Senai, Johor using artificial immune system and deep learning neural network |
| title_sort | prediction of monthly rainfall at senai, johor using artificial immune system and deep learning neural network |
| topic | Q Science (General) TA Engineering (General). Civil engineering (General) TK7885 Computer engineering |
| url | http://irep.iium.edu.my/82236/ http://irep.iium.edu.my/82236/ http://irep.iium.edu.my/82236/1/82236_Prediction%20of%20monthly%20rainfall%20at%20SENAI_ft.pdf http://irep.iium.edu.my/82236/2/82236_Prediction%20of%20monthly%20rainfall%20at%20SENAI_scopus.pdf |