Improved Extension Neural Network and Its Applications

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="593021.fig.006a" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/593021/figures/593021.fig.006a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Artificial data set</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="593021.fig.006b" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/593021/figures/593021.fig.006b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Clustering result after running FCM</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="593021.fig.006c" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/593021/figures/593021.fig.006c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Core data and boundary data</td></tr></table></td></tr></table>

<table>Interpretation of core data and boundary data based on shadowed sets.</table>

Mathematical Problems in Engineering

Improved Extension Neural Network and Its Applications

Figure 6