A New Generalized Deep Learning Framework Combining Sparse Autoencoder and Taguchi Method for Novel Data Classification and Processing

<table class="fixed-width table-group" id="tab16"><tr><td><table class="table"><colgroup><col style="width:4.19em"/><col style="width:3.89em"/></colgroup><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Factors</td><td class="align_center">Value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">HR</td><td class="align_center">2004</td></tr><tr><td class="align_left">ME</td><td class="align_center">350</td></tr><tr><td class="align_left">L2</td><td class="align_center">0.0035</td></tr><tr><td class="align_left">SR</td><td class="align_center">5</td></tr><tr><td class="align_left">SP</td><td class="align_center">0.16</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Autoencoder 1 parameters set obtained through optimization for Epileptic Seizure Recognition.</div>

Mathematical Problems in Engineering

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Table 16

Table 16: A New Generalized Deep Learning Framework Combining Sparse Autoencoder and Taguchi Method for Novel Data Classification and Processing 