Francisco Puente
ABSTRACT
The procedure and main result of a comparative study based on using an autoregressive model and an artificial intelligence technique applied to a Wimax traffic data series forecasting task are presented in this document. The time series forecasting methods being compared are: ANFIS model (Adaptive Network-based Fuzzy Inference Sys-tem) and ARIMA model (Auto-Regressive Integrated Moving Average).
This article aims to present significant data showing each technique performance under the criteria of mean square error sum and the required processing time.
As a result, in this study ARIMA models developed under RATS platforms are compared to the ANFIS models developed through MATLAB.
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