Comparison of ARIMA and RBFN models to predict the bank transactions
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F or making a prediction using time series, a large variety of approaches are available. Prediction of scalar time-series {x(n)} refers to the task of finding an estimate x(n+ 1) of the next future sample x(n+l ) based on the knowledge of the history of time-series, i,e., the samples x(n), x(n-l ), ... (Rank,2003). Linear prediction, where the estimate is based on a linear combination of N past samples can be represented as below:
[1] Erhard Rank,et al. Application of Bayesian trained RBF networks to nonlinear time-series modeling , 2003, Signal Process..
[2] Nam Mai-Duy,et al. Approximation of function and its derivatives using radial basis function networks , 2003 .
[3] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .