title: A clonal selection algorithm model for daily rainfall data prediction.
abstract: 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.
authors.affiliation: Department of Civil Engineering, Universiti Tenaga Nasional, IKRAM-UNITEN Road, 43000 Kajang, Selangor, Malaysia E-mail: sie_chun@hotmail.com.
authors.forename: N S
authors.initials: NS
authors.lastname: Noor Rodi
authors.affiliation: Department of Civil Engineering, Universiti Tenaga Nasional, IKRAM-UNITEN Road, 43000 Kajang, Selangor, Malaysia E-mail: sie_chun@hotmail.com.
authors.forename: M A
authors.initials: MA
authors.lastname: Malek
authors.affiliation: Department of Computer Science, Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia.
authors.forename: Amelia Ritahani
authors.initials: AR
authors.lastname: Ismail
authors.affiliation: Department of Civil Engineering, Universiti Tenaga Nasional, IKRAM-UNITEN Road, 43000 Kajang, Selangor, Malaysia E-mail: sie_chun@hotmail.com.
authors.forename: Sie Chun
authors.initials: SC
authors.lastname: Ting
authors.affiliation: Department of Civil Engineering and Geomatics, Cheng Shiu University, Kaohsiung City, Taiwan.
authors.forename: Chao-Wei
authors.initials: CW
authors.lastname: Tang
mesh_terms: D000465:Algorithms; D060966:Clonal Selection, Antigen-Mediated; D061827:Dimensional Measurement Accuracy; D005544:Forecasting / Q000379:methods*; D055904:Meteorology / Q000379:methods*; D008962:Models, Theoretical; D017711:Nonlinear Dynamics; D011891:Rain