Estimation of Different Performance Parameters of Slotted Microstrip Antennas with Air-Gap Using Neural Networks

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Parameters</td><td align="center">Patch geometry</td><td align="center">Slotted geometry</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">DR (GHz)</td><td align="center">2.0256 and 2.1970</td><td align="center">1.7630 and 1.9140</td></tr><tr><td align="left">DFG (dBi)</td><td align="center">8.2026 and 8.2129</td><td align="center">8.9365 and 8.9387</td></tr><tr><td align="left">DFD (dBi)</td><td align="center">9.1428 and 9.4193</td><td align="center">9.1122 and 9.2079</td></tr><tr><td align="left">DFA (%)</td><td align="center">80.5329 and 85.3708</td><td align="center">95.8065 and 93.9897</td></tr><tr><td align="left">DFR (%)</td><td align="center">90.2454 and 93.7718</td><td align="center">96.3604 and 96.6599</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

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Table 2

Table 2: Estimation of Different Performance Parameters of Slotted Microstrip Antennas with Air-Gap Using Neural Networks 