The Application of Pattern Recognition in Electrofacies Analysis

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="640406.fig.002a" src="https://static.hindawi.com/articles/jam/volume-2014/640406/figures/640406.fig.002a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>It is divided into three categories</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="640406.fig.002b" src="https://static.hindawi.com/articles/jam/volume-2014/640406/figures/640406.fig.002b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Each category is split into two subclasses</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="640406.fig.002c" src="https://static.hindawi.com/articles/jam/volume-2014/640406/figures/640406.fig.002c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Get the results after one splitting to judge whether each subclass follows Gaussian distribution</td></tr></table></td></tr></table>

<table>Schematic diagram of AKM algorithm.</table>

Journal of Applied Mathematics

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Figure 2

Figure 2: The Application of Pattern Recognition in Electrofacies Analysis 