A Model to Determine the Propagation Losses Based on the Integration of Hata-Okumura and Wavelet Neural Models

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">SMAPE</td><td class="align_center">MAPE</td><td class="align_center">MAE</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">GSM channel</td><td class="align_center">0.0019</td><td class="align_center">0.0010</td><td class="align_center">0.1005</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Error variables for the received power forecasts in the GSM channel, based on the wavelet neural model.

International Journal of Antennas and Propagation

tab3

Table 3

Table 3: A Model to Determine the Propagation Losses Based on the Integration of Hata-Okumura and Wavelet Neural Models 