Utilization of artificial immune system in prediction of paddy production

Mohd Khidzir, Ainul Bahiah and Abdul Malek, Marlinda and Ismail , Amelia Ritahani and Juneng, Liew and Ting , Sie Chun, (2015) Utilization of artificial immune system in prediction of paddy production. ARPN Journal of Engineering and Applied Sciences, 10 (3). pp. 1462-1467. ISSN 1819-6608

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	4296/43604
Uncontrolled Keywords:	: Artificial Immune System (AIS), climate, Clonal Selection Based Algorithm (CSA), paddy production, prediction.
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Amelia Ritahani Ismail
Date Deposited:	14 Jul 2015 09:26
Last Modified:	30 Nov 2017 19:57
URI:	http://irep.iium.edu.my/id/eprint/43604

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