Hybrid ARIMA and Neural Network Modelling Applied to Telecommunications in Urban Environments in the Amazon Region

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Dataset</td><td class="align_center">RMSE</td><td class="align_center">Relative error</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">“data1”</td><td class="align_center">0.6532</td><td class="align_center">0.0591</td></tr><tr><td class="align_left">“data2”</td><td class="align_center">0.3954</td><td class="align_center">0.4718</td></tr><tr><td class="align_left">“data3”</td><td class="align_center">0.1341</td><td class="align_center">3.4521</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Relative and RMS errors values for LS fitting of interpolated datasets.</div>

International Journal of Antennas and Propagation

tab4

Table 4

Table 4: Hybrid ARIMA and Neural Network Modelling Applied to Telecommunications in Urban Environments in the Amazon Region 