e-ISSN : 0975-4024 p-ISSN : 2319-8613   
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ABSTRACT

ISSN: 0975-4024

Title : Statistic Approach versus Artificial Intelligence for Rainfall Prediction Based on Data Series
Authors : Indrabayu, N. Harun, M.S. Pallu, A. Achmad
Keywords : Rain Prediction, ARIMA, ASTAR and GA-NN
Issue Date : Apr-May 2013
Abstract :
This paper proposed a new idea in comparing two common predictors i.e. the statistic method and artificial intelligence (AI) for rainfall prediction using empirical data series. The statistic method uses Auto-Regressive Integrated Moving (ARIMA) and Adaptive Splines Threshold Autoregressive (ASTAR), most favorable statistic tools, while in the AI, combination of Genetic Algorithm-Neural Network (GA-NN) is chosen. The results show that ASTAR gives best prediction compare to others, in term of root mean square (RMSE) and following trend between prediction and actual.
Page(s) : 1962-1969
ISSN : 0975-4024
Source : Vol. 5, No.2