Topologically Ordered Feature Extraction Based on Sparse Group Restricted Boltzmann Machines

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/mpe/volume-2015/267478/figures/267478.fig.007a.svgz" name="267478.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Nontopologically ordered features</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/mpe/volume-2015/267478/figures/267478.fig.007b.svgz" name="267478.fig.007b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Topologically ordered features</td></tr></table>

<div>Learned features using the nontopologically ordered (a) and topologically ordered (b) feature extraction approaches (taking the early stage as an example).</div>

Mathematical Problems in Engineering

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Figure 7

Figure 7: Topologically Ordered Feature Extraction Based on Sparse Group Restricted Boltzmann Machines 