Utilization of artificial immune system in prediction of paddy production
This paper proposed an Artificial Immune System (AIS) approach using the Clonal Selection Based Algorithms (CSA) to analyze the pattern recognition capability of the paddy trend, and to predict the paddy production based on climate change effects. Climate factors and paddy production are used as inp...
| Main Authors: | , , , , |
|---|---|
| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
2014
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/40746/ http://irep.iium.edu.my/40746/1/UTILIZATION_OF_ARTIFICIAL_IMMUNE_SYSTEM_IN_PREDICTION_OF_PADDY_PRODUCTION.pdf http://irep.iium.edu.my/40746/3/advcit-official-proceeding.pdf |
| _version_ | 1848782002429362176 |
|---|---|
| author | Mohd Khidzir, Ainul Bahiah Abdul Malek, Marlinda Ismail , Amelia Ritahani Liew, Juneng Sie Chun, Ting |
| author_facet | Mohd Khidzir, Ainul Bahiah Abdul Malek, Marlinda Ismail , Amelia Ritahani Liew, Juneng Sie Chun, Ting |
| author_sort | Mohd Khidzir, Ainul Bahiah |
| building | IIUM Repository |
| collection | Online Access |
| description | This paper proposed an Artificial Immune System (AIS) approach using the Clonal Selection Based Algorithms (CSA) to analyze the pattern recognition capability of the paddy trend, and to predict the paddy production based on climate change effects. Climate factors and paddy production are used as input parameters. High percentage of accuracy ranges from 90%-92% is obtained throughout the training, validation and testing steps of the model. The results of the study were tested using the Root Mean Square Error (RMSE), Mean Average Percentage Error (MAPE) and coefficient of determination (R2). Based on the results of this study, it can be concluded that the CSA is a reliable tool to be used as pattern recognition and prediction of paddy production. |
| first_indexed | 2025-11-14T15:58:32Z |
| format | Proceeding Paper |
| id | iium-40746 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T15:58:32Z |
| publishDate | 2014 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-407462015-07-08T01:09:20Z http://irep.iium.edu.my/40746/ Utilization of artificial immune system in prediction of paddy production Mohd Khidzir, Ainul Bahiah Abdul Malek, Marlinda Ismail , Amelia Ritahani Liew, Juneng Sie Chun, Ting QA75 Electronic computers. Computer science This paper proposed an Artificial Immune System (AIS) approach using the Clonal Selection Based Algorithms (CSA) to analyze the pattern recognition capability of the paddy trend, and to predict the paddy production based on climate change effects. Climate factors and paddy production are used as input parameters. High percentage of accuracy ranges from 90%-92% is obtained throughout the training, validation and testing steps of the model. The results of the study were tested using the Root Mean Square Error (RMSE), Mean Average Percentage Error (MAPE) and coefficient of determination (R2). Based on the results of this study, it can be concluded that the CSA is a reliable tool to be used as pattern recognition and prediction of paddy production. 2014 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/40746/1/UTILIZATION_OF_ARTIFICIAL_IMMUNE_SYSTEM_IN_PREDICTION_OF_PADDY_PRODUCTION.pdf application/pdf en http://irep.iium.edu.my/40746/3/advcit-official-proceeding.pdf Mohd Khidzir, Ainul Bahiah and Abdul Malek, Marlinda and Ismail , Amelia Ritahani and Liew, Juneng and Sie Chun, Ting (2014) Utilization of artificial immune system in prediction of paddy production. In: Advancement in Information Technology International Conference , 16-18 December 2014, Bandung, Indonesia. http://advcit.com/ |
| spellingShingle | QA75 Electronic computers. Computer science Mohd Khidzir, Ainul Bahiah Abdul Malek, Marlinda Ismail , Amelia Ritahani Liew, Juneng Sie Chun, Ting Utilization of artificial immune system in prediction of paddy production |
| title | Utilization of artificial immune system in prediction of paddy production |
| title_full | Utilization of artificial immune system in prediction of paddy production |
| title_fullStr | Utilization of artificial immune system in prediction of paddy production |
| title_full_unstemmed | Utilization of artificial immune system in prediction of paddy production |
| title_short | Utilization of artificial immune system in prediction of paddy production |
| title_sort | utilization of artificial immune system in prediction of paddy production |
| topic | QA75 Electronic computers. Computer science |
| url | http://irep.iium.edu.my/40746/ http://irep.iium.edu.my/40746/ http://irep.iium.edu.my/40746/1/UTILIZATION_OF_ARTIFICIAL_IMMUNE_SYSTEM_IN_PREDICTION_OF_PADDY_PRODUCTION.pdf http://irep.iium.edu.my/40746/3/advcit-official-proceeding.pdf |