Comparison of ARIMA and RBFN models to predict the bank transactions

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: