Francisco J. Puente

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This work aimed to show that time series are an excellent tool for data traffic modelling within Wi-Fi networks. Box-Jenkins methodology, which is herein described, was used to achieve this objective. Wi-Fi traffic modelling through correlated models, like time series, allow to adjust a great part of the data behavior dynamics in a single equation and,(More)
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(More)
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