An Optimized Hybrid Deep Learning Model to Detect COVID-19 Misleading Information

<table class="table-group" id="tab18"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Parameters</td><td class="align_center">Values</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Neurons</td><td class="align_center">30</td></tr><tr><td class="align_left">Reg rate</td><td class="align_center">0.01</td></tr><tr><td class="align_left">Dropout</td><td class="align_center">0.4</td></tr><tr><td class="align_left">Batch size</td><td class="align_center">30</td></tr><tr><td class="align_left">Epochs</td><td class="align_center">13</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The optimal LSTM parameter values for dataset 3.</div>

Computational Intelligence and Neuroscience

tab18

Table 18

Table 18: An Optimized Hybrid Deep Learning Model to Detect COVID-19 Misleading Information 