An Adaptive Fuzzy Min-Max Neural Network Classifier Based on Principle Component Analysis and Adaptive Genetic Algorithm

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="483535.fig.003a" src="https://static.hindawi.com/articles/mpe/volume-2012/483535/figures/483535.fig.003a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Hyperboxes generated by FMNN</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="483535.fig.003b" src="https://static.hindawi.com/articles/mpe/volume-2012/483535/figures/483535.fig.003b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Hyperboxes generated by DCFMN</td></tr></table></td></tr></table>

<table>Two inappropriate hyperbox creation. </table>

Mathematical Problems in Engineering

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Figure 3: An Adaptive Fuzzy Min-Max Neural Network Classifier Based on Principle Component Analysis and Adaptive Genetic Algorithm 