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Information Technology Journal
Year: 2007  |  Volume: 6  |  Issue: 3  |  Page No.: 475 - 477

Comparison of ARIMA and RBFN Models to Predict the Bank Transactions

Mitat Uysal    

Abstract: In this resarch, Radial Basis Function Networks (RBFN) and ARIMA models(Autoregressive Integrated Moving Average) are compared to their ability to predict time series values.RBFN gives good results in many cases but for some extreme values of time series, better approximations can be obtained using ARIMA models.

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